Sparks! Mira L.Wolf-Bauwens

CERN
26 Feb 202425:38

Summary

TLDRIn diesem Video spricht eine Philosophin von CERN über die Welt des Quantencomputings, warum wir Quantencomputer entwickeln und wie sie funktionieren. Sie diskutiert ihre Anwendungen, wie zum Beispiel die Simulation von Quantensystemen, künstliche Intelligenz und Optimierungsprobleme. Es wird auch über die Herausforderungen und Verantwortlichkeiten gesprochen, die mit der Verwendung von Quantencomputern einhergehen, und wie wir sicherstellen können, dass sie für das Wohl der Gesellschaft eingesetzt werden. Zudem wird auf die Bedeutung von Verantwortungsbewusstsein und die Notwendigkeit, den Zugang zu Quantentechnologien fair zu gestalten, hingewiesen.

Takeaways

  • 🌐 Quantum Computing hat das Potenzial, komplexe globale Herausforderungen wie die Ernährung der Weltbevölkerung, den Klimawandel und die Entwicklung besserer Finanzmärkte zu lösen.
  • 💡 Klassische Computer sind bei der Bewältigung dieser komplexen Probleme an ihre Grenzen gestoßen, da sie nicht in der Lage sind, die Natur genau zu simulieren.
  • 🚀 Quantum Computer können Nature auf quantenphysikalischer Ebene simulieren, was für Bereiche wie Quantenchemie, Materialwissenschaften und Teilchenphysik von entscheidender Bedeutung ist.
  • 🧠 In der künstlichen Intelligenz könnten Quantum Computer bei der Modelltraining, Mustererkennung und Optimierung helfen, da Optimierungsprobleme extrem schwierig sind.
  • 🔵 Quantum Computer nutzen Quantenbits (Qubits), die durch das Prinzip der Quantensuperposition nicht nur 0 oder 1, sondern auch beide Zustände gleichzeitig repräsentieren können.
  • 🌀 Die Macht von Quantum Computern wächst exponentiell mit der Anzahl der Qubits, da die Superposition und Verknüpfung von Qubits enorme Rechenmöglichkeiten eröffnen.
  • 🛠️ Das Wachstum von Quantum Computern ist schnell und es wird erwartet, dass ab 2023 das Zeitalter der nutzbaren Quantum Computing eingeht, in dem wissenschaftliche Entdeckungen gemacht werden können.
  • 🔋 Die Hardware von Quantum Computern ist beeindruckend, da sie eine große Anzahl von Qubits in sehr kleinen Chips beherbergen kann, aber auch die Qualität der Qubits und ihre Geschwindigkeit sind entscheidend.
  • 💊 Ein Beispiel für die Anwendung von Quantum Computing ist die Arzneimittelentwicklung, wo Cleveland Clinic bereits einen Quantum Computer installiert hat, um in der Forschung und Lehre voranzuschreiten.
  • 🌱 Quantum Computer könnten auch bei der Bewältigung des Klimawandels helfen, indem sie bei der Optimierung der Energieverteilung oder bei der Suche nach neuen Materialien für Batterien eingesetzt werden.
  • 🌍 Es gibt Bedenken hinsichtlich des Zugangs zu Quantum Computing, da Investitionen und Strategien derzeit stark auf einer Seite der Erde konzentriert sind, was eine Herausforderung für globale Gleichheit darstellt.

Q & A

  • Was sind die Hauptgründe, warum Quantencomputer entwickelt werden?

    -Quantencomputer werden entwickelt, um komplexe Probleme zu lösen, bei denen herkömmliche Computer ihre Grenzen erreichen. Sie können Naturerscheinungen genauer simulieren, was für Bereiche wie Quantenchemie, Materialwissenschaften und High-Energy-Physik von Vorteil ist.

  • Wie unterscheidet sich die Funktionsweise von Quantencomputern von herkömmlichen Computern?

    -Quantencomputer nutzen Quantenbits (Qubits), die durch die Quantenmechanik gesteuert werden. Sie können durch das Prinzip der Superposition nicht nur 0 oder 1, sondern auch beide Zustände gleichzeitig repräsentieren.

  • Was bedeuten die blauen Ellipsen in der Präsentation und welche Art von Problemen werden damit angesprochen?

    -Die blauen Ellipsen stellen Arten von Problemen dar, die möglicherweise heute noch nicht vorstellbar sind, aber die man in Zukunft mit Quantencomputern lösen könnte.

  • Wie können Quantencomputer bei der Simulation von Natursystemen helfen?

    -Da die Natur nach den Gesetzen der Quantenphysik und nicht der klassischen Physik funktioniert, können Quantencomputer Natursysteme genauer simulieren als herkömmliche Computer.

  • Welche Anwendungen von Quantencomputern wurden in Bezug auf künstliche Intelligenz genannt?

    -In der künstlichen Intelligenz könnten Quantencomputer bei der Modelltraining, Mustererkennung und Optimierung helfen, da Optimierungsprobleme sehr komplex sind und schnellere Lösungen großes Potenzial haben.

  • Wie wichtig ist die Kontrolle von Qubits für die Funktion von Quantencomputern?

    -Die Kontrolle von Qubits ist entscheidend, um Berechnungen durchzuführen. Man nutzt Quantenschaltungen (Quantum circuits), um sie zu steuern und zu berechnen.

  • Was bedeutet der Begriff 'Quantenfidelität' und warum ist er wichtig?

    -Quantenfidelität ist ein Maß für die Qualität der Qubits und der Schaltungen in einem Quantencomputer. Sie ist wichtig, um zu bestimmen, wie zuverlässig und korrekt die Qubits Informationen verarbeiten können.

  • Wie weit sind wir mit der Entwicklung von Quantencomputern und was bedeuten die verschiedenen Stufen auf der Präsentationskarte?

    -Die Entwicklung von Quantencomputern ist in verschiedenen Stufen. Von der Hardwareentwicklung über die Verbesserung der Quantenfidelität bis hin zur Erreichung der 'Nützlichkeit', bei der Quantencomputer nützliche wissenschaftliche Entdeckungen ermöglichen sollen.

  • Was ist der Open Quantum Institute und welche Rolle spielt es bei der Förderung von Quantencomputing?

    -Das Open Quantum Institute ist eine Initiative, die darauf abzielt, Quantencomputing für jeden zugänglich zu machen, Bildung zu fördern und insbesondere unter Entscheidungsträgern das Bewusstsein zu schärfen. Es trägt dazu bei, die Herausforderungen zu adressieren, die in den Sustainable Development Goals (SDGs) identifiziert wurden.

  • Wie kann die Verantwortungsvolle Nutzung von Quantencomputing definiert werden und welche Aspekte sind dabei zu berücksichtigen?

    -Verantwortungsvolles Quantencomputing beinhaltet die Überlegungen zu den Auswirkungen der Technologie, das Bewusstsein für ihre Macht, das Proaktive Verringern von möglichen Schäden in inklusiver Weise und die Überwachbarkeit und Rechenschaftspflicht.

  • Welche Herausforderungen müssen überwunden werden, bevor Quantencomputer Millionen von Qubits haben können?

    -Einer der Hauptherausforderungen ist die Verbesserung des Verhaltens der Qubits, auch wenn sie bereits tiefgekühlt werden. Es ist notwendig, größere Systeme zu entwickeln, die zuverlässiger sind und eine höhere Quantenfidelität aufweisen.

Outlines

00:00

🌌 Einstieg in die Welt des Quantencomputing

Der Sprecher begrüßt das Publikum und betont die Bedeutung von Quantencomputing. Er führt ein, indem er die Herausforderungen der Gesellschaft wie den Klimawandel, die Nahrungsmittelproduktion und die Entwicklung neuer Medikamente anspricht, die durch klassische Computer begrenzt sind. Er stellt dar, dass Quantencomputer aufgrund ihrer Fähigkeit, die komplexen Probleme der Natur zu simulieren, die Zukunft der Problemlösung darstellen könnten.

05:00

🔬 Grundlagen des Quantencomputing

Der zweite Absatz konzentriert sich auf die grundlegenden Prinzipien des Quantencomputing, insbesondere auf das Konzept des Qubits. Der Sprecher erklärt, wie Qubits Informationen codieren können, was die Fähigkeit zur Simulierung von Quantensystemen ermöglicht. Er führt das Konzept der Quantenschränkung ein und wie dies die Potenz von Quantencomputern im Vergleich zu klassischen Computern erhöht.

10:02

🌐 Stand und Entwicklung des Quantencomputing

Der dritte Absatz beschreibt den aktuellen Stand des Quantencomputing und die zukünftigen Entwicklungen. Der Sprecher zeigt eine Roadmap, die die fortschreitende Entwicklung von Quantencomputern mit wachsenden Anzahlen an Qubits und zunehmender Leistungsfähigkeit zeigt. Er betont, dass wir in einer Ära eintreten, in der Quantencomputing für wissenschaftliche Entdeckungen von Nutzen sein kann.

15:03

💊 Anwendungen des Quantencomputing in der Gesundheitsbranche

In diesem Abschnitt werden die Anwendungen von Quantencomputing in der Gesundheitsbranche und Lebenswissenschaften erläutert. Der Sprecher erwähnt, wie Institutionen wie das Cleveland Clinic Quantencomputer einsetzen, um die Forschung in Bereichen wie Arzneimittelentwicklung und präzise Medizin voranzutreiben. Er betont auch die Bedeutung von Quantencomputing für die Optimierung von Energieverteilung und die Entwicklung neuer Materialien für Batterien.

20:04

🌱 Verantwortungsvolles Quantencomputing

Der fünfte Absatz thematisiert die Herausforderungen und Verantwortlichkeiten, die mit der Verbreitung von Quantencomputing einhergehen. Der Sprecher fordert eine verantwortungsvolle Gestaltung der Technologie, um sicherzustellen, dass alle Gesellschaften von den Vorteilen profitieren können. Er spricht sich für die Bedeutung von Zugang, Partizipation und Verantwortung aus und verweist auf Initiativen wie das Open Quantum Institute, das für den Zugang und die Bildung sensibilisiert.

25:05

🔋 Energieeffizienz und zukünftige Herausforderungen des Quantencomputing

Der letzte Absatz diskutiert die Frage der Energieeffizienz von Quantencomputern und die Herausforderungen, die die Entwicklung dieser Technologie begleiten. Der Sprecher erwähnt, dass es um die Optimierung von Energieverbrauch geht und dass es Bemühungen gibt, um einen 'Quanten-Energie-Vorteil' zu definieren, der nicht nur die Geschwindigkeit, sondern auch die Energieeffizienz von Quantencomputern berücksichtigt.

Mindmap

Keywords

💡Quantencomputer

Quantencomputer sind Rechenmaschinen, die die Prinzipien der Quantenphysik nutzen, um Informationen zu verarbeiten. Im Gegensatz zu herkömmlichen Computern, die Bits verwenden, um Daten in Form von Einsen und Nullen zu repräsentieren, können Quantencomputer mit Quantenbits (Qubits) Informationen kodieren, die sowohl den Zustand Eins als auch Null oder beides gleichzeitig annehmen können. Dies ermöglicht eine exponentielle Vergrößerung der Informationsmenge, die verarbeitet werden kann, was die enorme Rechenleistung von Quantencomputern ausmacht, wie im Video erwähnt wird.

💡Superposition

Die Superposition ist ein grundlegendes Prinzip der Quantenphysik, das besagt, dass ein Quantenbit (Qubit) mehrere Zustände gleichzeitig einnehmen kann, bis es gemessen wird. Im Video wird das Beispiel eines Münzwurfes verwendet, um dies zu veranschaulichen: Solange die Münze in der Luft ist, kann sie als Kopf oder Zahl zugleich betrachtet werden, was eine Superposition darstellt. Diese Eigenschaft ermöglicht Quantencomputern, viele mögliche Ergebnisse gleichzeitig zu berechnen.

💡Quantenalgorithmus

Ein Quantenalgorithmus ist ein spezieller Algorithmus, der auf Quantencomputern ausgeführt werden kann, um Probleme effizienter zu lösen als herkömmliche Algorithmen. Im Video wird erwähnt, dass Quantenalgorithmen verwendet werden, um Quantenbits in bestimmter Reihenfolge zu steuern und zu berechnen, um am Ende Messungen und Ergebnisse zu erhalten. Diese Algorithmen sind entscheidend für die Leistungsfähigkeit von Quantencomputern.

💡Quantenchemie

Quantenchemie ist ein Bereich der Chemie, der die Prinzipien der Quantenphysik verwendet, um chemische Systeme zu beschreiben und zu verstehen. Im Video wird erwähnt, dass Quantencomputer aufgrund ihrer Fähigkeit, Natur genau zu simulieren, wichtige Anwendungen in der Quantenchemie haben, da Naturgesetze auf Quantenphysik basieren und nicht auf klassischer Physik.

💡Quantenverschlüsselung

Quantenverschlüsselung ist eine Art der Datenverschlüsselung, die die Eigenschaften der Quantenphysik nutzt, um die Sicherheit von Kommunikationskanälen zu gewährleisten. Obwohl im Video nicht direkt erwähnt, ist dies eine wichtige Anwendung von Quantentechnologie, die auf den gleichen Prinzipien basiert wie Quantencomputer.

💡Quantenüberlagerung

Quantenüberlagerung ist ein Phämomen in der Quantenphysik, bei dem ein Quantensystem gleichzeitig in mehreren Zuständen existieren kann. Im Video wird dies als eine der grundlegenden Eigenschaften von Quantenbits beschrieben, die es Quantencomputern ermöglicht, enorme Mengen an parallelen Berechnungen durchzuführen.

💡Quantenfehlerkorrektur

Quantenfehlerkorrektur ist ein Konzept, das darauf abzielt, die Genauigkeit von Quantencomputern zu verbessern, indem Fehler in Quantenbits korrigiert werden. Im Video wird erwähnt, dass Quantenbits 'störanfällig' sind und dass Forscher daran arbeiten, die Zuverlässigkeit von Quantencomputern zu erhöhen, was eng mit der Quantum-Fehlerkorrektur verbunden ist.

💡Quantenvorteil

Quantenvorteil bezeichnet die Situation, in der ein Quantencomputer ein bestimmtes Problem schneller oder effizienter lösen kann als ein klassischer Computer. Im Video wird dies als eines der Ziele der Forschung und Entwicklung von Quantencomputern erwähnt, bei dem die Such nach Anwendungen, bei denen Quantencomputer einen signifikanten Vorteil bieten, ein Hauptthema ist.

💡Quantenhardware

Quantenhardware bezieht sich auf die physischen Komponenten eines Quantencomputers, einschließlich der Quantenbits und der zur Betriebsführung erforderlichen Kühlung und Unterstützungseinrichtungen. Im Video wird auf die Fortschritte in der Quantenhardware hingewiesen, wie zum Beispiel die Steigerung der Anzahl der Quantenbits auf einem Chip von 27 im Jahr 2019 auf 433 im Jahr 2022.

💡Quantensoftware

Quantensoftware umfasst die Programme und Algorithmen, die auf Quantencomputern ausgeführt werden. Im Video wird erwähnt, dass die Entwicklung von Quantensoftware ein wichtiger Schritt ist, um die Leistungsfähigkeit von Quantencomputern zu verbessern und um sicherzustellen, dass sie für relevante Probleme eingesetzt werden.

Highlights

Introduction to quantum computing and its potential impact on society.

Quantum computers' ability to address complex problems that classical computers cannot.

The current limitations of classical computers in tackling global challenges like climate crisis and drug discovery.

Visualization of problem-solving capacity: classical computers vs. quantum computers.

Quantum computers' potential to simulate quantum systems accurately.

The concept of qubits and their ability to exist in a state of superposition.

Exponential growth in computing power due to quantum physics principles like superposition and entanglement.

Quantum circuits as a method for controlling and calculating with qubits.

The roadmap for quantum computing development from 2019 to beyond 2026.

Entering the era of utility quantum computing for scientific discoveries.

Physical appearance and architecture of a 433 qubit quantum chip named Osprey.

Importance of considering scale, quality, and speed when evaluating quantum computers.

Quantum computing's role in healthcare and life sciences, particularly drug discovery.

Cleveland Clinic's investment in quantum computing for research and education.

The potential of quantum computing in addressing the climate crisis and optimizing energy distribution.

The global disparity in access to quantum computing and the need for responsible development.

The Open Quantum Institute's mission to make quantum computing accessible and educate about its potential.

Challenges and bottlenecks in scaling up quantum computers for broader use.

The energy efficiency of quantum computers compared to classical computers.

The potential for quantum computing to optimize and revolutionize financial markets.

Transcripts

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[Music]

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[Applause]

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good evening everyone what a pleasure to

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be here a philosopher at CERN I think

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that's a great place to meet um I'm very

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excited to dive with you into the world

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of quantum Computing into why we build

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and develop quantum computers what we

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use them for how they work and also how

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we can make sure that as Society we can

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use them in a way that they that we all

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can profit from

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them so as you know as society as a

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whole we have a number of tremendous

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challenges that we're facing from

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feeding feeding the world feeding the

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world's population the climate crisis

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better stable markets better um

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financial markets to drug Discovery

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something that is currently relatively

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slow as we unfortunately had to

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experience over the last years these

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problems are so challenging because

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they're incredibly complex they're

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actually so complex that with our

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classic computers they're coming to the

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limits and as you know the classical

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computers that we're having they're huge

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so there's something about these types

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of problems that makes them specific

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that with our classical computers some

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of them we can't even address just by

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the nature of how some of them work so

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just by the nature of how nature works

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so to look a little bit closer into the

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kinds of problems what they are and why

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which ones we can address and which ones

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we can't address I find this graphic

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really really helpful so if you think of

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all the types of problems that we're

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having the types of problems that we can

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address today with classical computers

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are in the middle those are the white

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problems as you can see it's a

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relatively small subset then there's a

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huge typ area

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of problems in the light blue which are

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the problems that we can't address

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adequately today and then there's the

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blue ellipses which is the types of

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problems that we hope to be able to

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address with quantum computers and it's

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not because I'm really bad at PowerPoint

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that the ellipses actually spend into

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the dark but it spend into the dark

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because there might be a type of problem

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that we can't even think of today that

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we will be able to address with quantum

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computers so you've seen that there

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really is a number of large complex

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problems that we hope to address with

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quantum computers so what might these

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be I can tell you the numbers in the

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white in the middle in the white those

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the types of problems are things like

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writing emails number crunching

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potentially streaming Netflix rewatching

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this talk at some point but the types of

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problems that are in the dark blue are

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problems like this so they range from

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simulating Quantum

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systems As We Know the nature doesn't

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behave according to the laws of

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classical physics they behave it behaves

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according to the laws of quantum physics

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so with classical computers we cannot

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simulate nature accurately we do need

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quantum computers for that so that's one

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big area and that's bends to areas such

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as quantum chemistry Material Sciences

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and high energy physics a place that we

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find us in here um there's also

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potential applications in the area of

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artificial intelligence where we can

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potentially do better model training

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pattern recognition and also in the area

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of optimization as you know optimization

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problems are very very challenging

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problems and

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so optimizing doing those uh

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optimization problems faster has huge

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potentials but okay seeing what we could

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do with quantum computers and what

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classic computers aren't adequate for of

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course this raises the question well

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what is it then about quantum computers

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that makes them so

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special the answer the basic principles

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of the answer lies in this uh two sides

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of the graphic on the one hand side you

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see what we call a cubit so you know

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that In classical Computing we compute

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with bits bits we can represent

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information in form of one and zero but

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with cubits we can harness the

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principles of quantum physics and can

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actually represent not only one and zero

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but also one and zero at the same

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time so one and zero at the same time

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that uses the principle of superposition

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what is that how might that work there's

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a nice analogy that you can use to think

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of it think of tossing a coin you have

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the coin on your on your hand on the

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palm of your hand um and there you

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measure it it's either either zero or

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one then you throw it into the air and

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while it's in the air you can't tell is

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it zero or one it's in a state of

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superposition you could say when it

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lands back in your hand it's again

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either zero or one or either heads or

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tails in that case and so you've

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measured it

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and you can think of it similarly when

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you hear superposition it's a similar

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principle and so we can actually encode

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information in those States so with a

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cubid we have twice the amount of

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information that we can encode and if we

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add multiple cubits to another which

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we're doing in a Quantum circuit then

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this aspect this phenomenon actually

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grows exponentially and since the past

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two years I don't have to explain

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exponential growth to you anymore so you

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can imagine what exponential power we're

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having in using quantum computers and

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harnessing some of the princip of

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quantum physics as a superposition

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entanglement and of course more the

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question then is well how can we control

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these cubits because in order to

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calculate with them such as with

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classical computers we need to control

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them and also tell them how actually

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calculate with them and this is what we

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call Quantum circuits it's another term

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for just a Quantum algorithm so we put

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them in a certain order we tell them um

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certain ways to behave and then we can

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measure them at the end and this is how

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we then read out uh our measurements and

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our the result of our calculation so

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this is the basic princip of quantum

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Computing and don't worry this is not

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going to go into a lecture but gives you

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some of the basic principles what that

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allows you to understand why they're so

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powerful and why we're so excited um

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about them so the next question and of

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course is well okay that sounds fine but

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where are we are is that theory do we

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have them what what's what's the road

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ahead and you you're noticing that we're

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really exploring Uncharted territories

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here and for any exploration

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typically what you take with you is a

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map and typically this map also looks

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relatively messy because um it it has a

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lot of details on the map so I've

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brought with you a map that we're using

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to explore the territory of quantum and

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as promised it looks a little bit messy

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or at least very busy um but don't worry

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we go through it um uh in detail uh I'll

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I'll help you how to read this map so

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start at the bottom in the dark blue

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this is where you can see the hardware

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so you see one of the the cubits or

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actually in the first one you see 27

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cubits on a chip this is what we started

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with 2019 this is actually when we put

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the first quantum computer on the cloud

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so if you had tried to use a quantum

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computer in 2019 you could have used

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them via cloud and then since then we've

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progressed and if you go to the top you

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see the timeline and so you see that in

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2022 um we've released uh a 433 Cubit

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system so you see that the systems are

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growing the number of cubits on the

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chips are growing and then you can see

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also from today uh 2023 2024 and to

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Beyond

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2026 what you can see and what I want to

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draw you attention to as well is to the

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top you can see that starting this uh

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this year we're really entering the era

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of utility Quantum Computing so we're

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entering the error where we can use

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quantum Computing for useful scientific

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discoveries

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it's we're entering the era we're at the

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beginning that's very important to

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mention but you can see that also as

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we're growing the systems and making um

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significant advances in the Middle where

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and I won't go into detail there we

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really are getting towards um further

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advancements on all of the levels so

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when you wonder you know where are we

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with Quantum Computing what's the map or

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what's the road map ahead think of

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something like this and this is actually

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publicly available and we're accountable

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to it um and so far we we've achieved

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every step of it so it seems to be a

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reliable map as well so I've I've shown

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you sort of a a picture of a cubit what

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it might look like but I also want to

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show you what a cubid and what cubits

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actually look like on a chip so the chip

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from that we've released last year this

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is Osprey um is a 433 Cubit chip and you

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can think of it um looking like this if

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you kind of opened it up and looked at

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it from the site and this is the you can

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see the architecture and how the cubits

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are arranged on that ship but often when

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you hear about Quantum Computing you

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hear and it's very impressive also the

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number of cubits on a chip I mean

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consider that this chip is just a tiny

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bit larger than a penny coin so it's

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very very

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impressive however there's other

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elements that you need to bear in mind

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when you're considering the performance

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of a quantum computer and this is

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something I would really ask you to take

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away with you because often we get stuck

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in conversations about uh quantum

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computers and the number of cubits but

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really what matters is on the one hand

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the scale the number of quantum cubits

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but how these cubits

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behave the as we're cooling down our

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quantum computers to minus 270 degrees

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so to colder than outer space we're

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already doing quite a lot for them to

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behave to control them but they still do

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misbehave at times so we need something

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we need the quality a measure for we

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have a measure for a quality which is

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about the Fidelity of the cubits and the

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circuits as well and then of course as

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you know with any computation there's

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speed you don't want to run a

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computation wait forever and and just

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get bored waiting forever so those are

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the three aspects you should actually

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look at when you're

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wondering where are we with quantum

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computers are there good quantum

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computers so going back to why do we

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build them so I've told you we have a

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number of complex problems I've told you

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only a few maybe the most important ones

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maybe not but a few really really

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important ones that as a society we're

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grappling with and I want to focus on uh

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the the one in drug Discovery and in

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healthcare and Life Sciences so you

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heard that quantum computers can

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simulate nature so naturally it's it's

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natural to think of okay where do we

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simulating nature that's in the area of

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healthare and life sciences and there is

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institutions such as hospitals that also

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do research one of the largest ones

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actually is uh in the United States is

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Cleveland Clinic it's a very large

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institution that does research

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research but also is a hospital itself

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the Cleveland Clinic is known to be an

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institution that does leading Healthcare

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and Life Sciences research and also to

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do education and they decided that if

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they want to be ahead and be able to

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continue driving the research in the

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area of healthcare and Life Sciences

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they also need to be had with

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Technologies so actually Cleveland

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Clinic has decided to buy a quantum

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computer and this is not science fiction

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they've not only decided to buy a

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quantum computer they've also actually

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already installed the quantum computer

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so if you walk to the cafeteria of the

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Cleveland Clinic you can see

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this so there's a working quantum

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computer with 127 cubits and they'll get

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the louter chip as well that they use

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for their research and they also use for

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educational

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purposes so the types of problems

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they're looking into are very similar to

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the types of problems that I've uh

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discussed before they're simulating

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nature so for drug Discovery for

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diagnostics for precision medicine

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processing dat large complex data and of

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of course also search and optimization

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and you have those also in healthcare

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process optimization or population

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Health Management so this is in the area

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of healthcare and life sciences and it's

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very much happening right now over in

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the United

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States another area that challenges us

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is the climate crisis and as we know

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we're trying to move away from

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traditional cars to electric vehicles

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but we also know that one of the

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challenges is that with electric

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vehicles um the Grits actually that

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they're peaking because we're using

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we're charging them overnight and so we

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have peaks in the usage of the energy um

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and that's not ideal and as a energy

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supplier and one of them is Eon uh you

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might have heard of they're really

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interested in having um an optimized way

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of how the energy is distributed across

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the grid and so they're actually looking

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into using Quantum this is a incredibly

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complex um operation an incredibly

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complex optimization problem so they're

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looking into using quantum computers to

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see whether they can optimize the way

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that energy is being used in the grids

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another that is also related to the

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climate change and also in some way

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related to electric vehicles and using

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more

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batteries um is from this car man

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manufacturer you might know that

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batteries currently they're very heavy

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they don't last as long as we would like

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them to so they need to be lighter and

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last much longer and for that we need to

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discover new materials and so this

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company is looking into discovering new

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materials with Quantum Computing so

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again we're going back to simul in

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nature to see whether there's better

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materials for the use in

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batteries so I think this makes really

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clear what the potential of quantum

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Computing is and that the prospect of

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the being able to address these really

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challenging problems is really

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fascinating however there's one

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challenge that we have as a globe and

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that is how who has access to Quantum

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Computing who partakes in the research

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of quantum computing and ultimately also

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who will benefit from these tremendous

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benefits that I think we would all want

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to benefit from if we look at Who

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currently invests into Quantum Computing

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and who currently across the globe has a

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Quantum Computing strategy we see

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something like this picture and as you

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can see the picture is colored very

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heavily on one side of the globe and not

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so much on another side of the globe and

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this is a challenge I mean that we're

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seeing with digitalization in general

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and the risk that we're seeing with

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Quantum the good thing is that with

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Quantum we're early on so with Quantum

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we're so early on that we actually can

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do things differently and this is why

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we're doing research into responsible

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Quantum Computing so responsible

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Computing understood as Computing that

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is considering the implications of the

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technology that is aware of the power of

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its effects that is looking into um

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mitigating the potential Harms of

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quantum Computing proactively in an

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inclusive manner uh looking into

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accessibility and accountability and so

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overall to be guided by principles of

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responsible technology

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development and this is really as I

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mentioned we're really early on so we

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used to we're at the beginning of the

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era of quantum Computing so it's really

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really high time that we think about

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this because we can be practive with

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other Technologies we're running behind

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we we had to see what had to go wrong

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first and then we come up with Solutions

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with Quantum Computing we have the

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opportunity to really learn from that

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and to not make mistakes again so we can

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be really proactive and also everyone in

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the community we're all working on this

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because we we want Quantum to be used

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for good none of us is working on this

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and there's a lot of hard work as you

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can imagine being put into this none of

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us do this so that they misused so as a

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community we're really interested and

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also having quantum computers used in a

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very responsible way and we also finally

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have the uh as a moral philosopher we

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have the moral obligation also to do so

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to consider the implications to consider

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what is happening outside of the lab and

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fortunately I'm speaking today at CERN

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because there's actually a wonderful

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initiative that was born not far away

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from here at Jester and is now hosted at

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CERN which is the open Quantum Institute

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the open Quantum Institute that was just

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announced very recently or launched very

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recently about a month ago has the

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mission to make Quantum Computing

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accessible for everyone to to grow

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education to grow the awareness

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especially also among policy makers and

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to make sure that in addressing these

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most complex problems we're addressing

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those that have already been identified

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as being the most complex problems

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namely those um that we addressing

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within the

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SGS so this is a very real initiative

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that is happening that is starting to

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address the challenge that I've

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mentioned so coming to to to conclude

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you've seen that with Quantum Computing

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there's a lot of potential we can

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improve nitrogen fixation to uh for

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creating ammonia based fertilizers we

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can find potentially find new materials

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to better St store uh carbon we can find

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better Financial models for um a more

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improved financial markets and we can

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find discover new class of antibiotics

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new classes of drugs um that we urgently

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need

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if you now think well this sounds a lot

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of the future this sounds very Rosy then

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I'll just leave you with this and I

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think you're thinking too

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classically thank you thank you Mira

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um you showed us this chart that is is

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now somewhere between 500 and 1,000

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cubits for a computer right that's the

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current State ofthe

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art when we think of a really powerful

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quantum computer we're talking about

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million of millions of cubits so what

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are the bottlenecks that uh that we need

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to break through before getting there

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yeah so I I've alluded to one of them

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which is the way that the cubits behave

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so although we already cool them down

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they still we call that them being noisy

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which effectively we mean that they

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don't quite behave the way we want

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and so not only do we have to build

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larger systems but we also need to build

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larger systems that are reli reliable so

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that's why I mentioned the Fidelity um

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and so that that is an engineering

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challenge that we need to overcome so

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it's it's really uh one where we need

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breakthroughs um and we're making

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breakthroughs on a sort of daily basis

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to overcome this engineering challenge

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um another challenge then also is in

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making sure that when we're using

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quantum computers we're really using

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we're finding the right problems to use

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them for now so so we're working

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actually we're partnering with a lot of

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Institutions um to to make sure that as

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we have these um as we sort of

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chartering into those territories and as

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we're starting to be able to really use

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them that we're using them at that

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moment for the right problems and not

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using them for something that is not

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actually relevant how flexible is a

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quantum computer I mean what I

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understand is is not updatable for

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example if I buy one now and I put it in

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my

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cafeteria uh it looks cool no doubt it

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looks cool I will impress my friends

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but I cannot just download another piece

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of software in six months and update it

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uh so how how specific are they to

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specific tasks uh no the so we're

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building actually so the the aim is to

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build Universal uh full Char on quantum

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computers um so there's a lot of work

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going on of course with the software and

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the middleware to improve that but but

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it's it's really it's it's kind of I

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think you need to change the way you ask

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that question as well and thinking to

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because you come with a problem that is

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relevant for quantum computer and so you

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know how to you need to of course um

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address it in ways or kind of uh put it

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in ways that is being that it can be run

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on a quantum computer and then you you

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can run it so you use a different

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software it's a software for instance we

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call kkit it's an open source software

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as well um that you can use um but yeah

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you need to kind of make sure you've

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find found a problem so if if you came

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and wanted to crunch numbers or write

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emails with a quantum computer I hope

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someone would tell you very early on to

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not do not do that uh just out of

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curiosity the quantum computer we saw

play20:32

from Cleveland what's the price range

play20:34

for a machine like that I've have no I

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work in research I don't sell these

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things wrong person I suspect I suspect

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is in the in the several million but uh

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uh going back to the question that he

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had before uh so there is the aspect of

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using quantum computers to uh optimize

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for example electric distribution etc

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etc there's also the aspect of quantum

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computers using a lot of resources and

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energy right uh the machine we saw is

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probably I don't know three cubic meters

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in size but the actual computer is

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something like this yeah so all the rest

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is wiring Cooling and supporting

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Machinery uh we we've heard a lot in the

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last year and a half since you know chbt

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and other AI systems came into into the

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public space that uh the energy use of

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data centers and AI is growing

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exponentially what is the game here in

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terms of energy use so there's sort of

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two parts the reason that we're looking

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into finding using quantum computers for

play21:40

optimization problems or for simulation

play21:43

is so that we can actually run these

play21:45

types of problems that we're currently

play21:47

running on sort of inefficient classical

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Hardware that we can run them more

play21:51

efficiently that's one part and the

play21:53

second part is also so we've heard of so

play21:55

we're looking for Quantum Advantage so

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we're looking for when a quantum

play21:58

computer has an advantage in in solving

play22:00

a problem over a classical computer but

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there's also an initiative that is

play22:04

looking into Quantum energy Advantage so

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the idea here is to create a benchmark

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where not only we're looking that a

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problem is being solved faster but also

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that it's being solved in a more energy

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efficient way and so this is actually um

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something that I think most of most of

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the community is currently looking at

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and doing active Research into because

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of course the question is as quantum

play22:25

computers will run in sync with

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classical comp computers so you you

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can't think of one or the other you will

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use them together so the question is if

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you want to measure that and Benchmark

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that where do you start do you do you

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kind of dissolve the the quantum

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calculation from the classical

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calculation do you take it from start to

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the end and so it's currently a very

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active research to look into how do we

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measure that how we actually say how

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much energy is being used and so this is

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an initiative that's actually not far

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from here from grob uh from the cnrs um

play22:55

that is looking that's called the

play22:57

quantum energy initiative that is

play22:58

looking into establishing exactly that

play23:01

and how to measure that okay was the

play23:03

same question and you have a question

play23:04

please stand

play23:07

up hi yeah it's okay um really happy

play23:11

that you uh gave the example of

play23:14

financial markets potentially using

play23:16

Quantum

play23:17

technology um so I know that Banks um in

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some cases are quite dependent still on

play23:25

Legacy systems um for very ious reasons

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so for these institutions to effectively

play23:32

leverage Quantum

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technology what what what kind of

play23:36

changes are you expecting to see at like

play23:38

an Enterprise operating model for these

play23:41

Banks to be able to effectively use this

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and like on a high level how would you

play23:46

go about building a capability to use

play23:48

quantum data analytics for example yeah

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I think it's a very excellent question

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so I'll try to be quick and the how we

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could talk hours about this question um

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but basically so the the important sort

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of underlying assumption is that with

play24:04

Quantum it's going to be integrated into

play24:06

the at infrastructure so ideally as an

play24:09

end user who's not responsible for

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running the uh who's not sort of at the

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quantum computer and making sure the

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integration is happening you're not

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really noticing you don't have to

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necessarily know is this being run on on

play24:21

um classical or is this being run on

play24:23

Quantum however at this point in time

play24:26

when you're trying to integrate you're

play24:28

trying to also find out what are the

play24:29

most relevant problems it is really and

play24:32

this is something we we're seeing

play24:33

happening and it's on app Skilling so I

play24:35

mentioned that there's a certain

play24:37

software which is kuit and it's on

play24:38

learning this and so the how is to

play24:41

starting right now on upskilling to to

play24:44

understand how how to um transfer your

play24:47

your your problem into a problem that

play24:49

can be run on a quantum computer and to

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really start with small problems that

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you can use the machines for now I mean

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every Bank could log onto the cloud and

play24:57

use the right now um to then when we

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have the larger systems to really be

play25:01

able to harness the potential um and so

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yeah I think that this is something um

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sort of it's really across as awareness

play25:08

building so that the entirety of

play25:10

financial institutions also understand

play25:11

what the relevance is and can use it um

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the moment the systems are at the uh

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utility scale from the main frame to the

play25:20

quantum computer in a single leap okay

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Mira thank you very much Ro

play25:24

M thank

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you

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