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media:description>Many videos on quantum computing focus on their theoretical concepts or future potential, but in this new series, Dr. Olivia Lanes will show you how to use a quantum computer that exists right now to its fullest potential.
#ibmquantum #learnquantum #qiskit/media:description>
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media:title>The (quantum) signal and the noise | Qiskit Quantum Seminar with Yihui Quek/media:title>
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media:description>Episode 156
Abstract: Can we compute on the quantum processors of today? In this talk, I explore the extent to which noise presents a barrier to this goal by quickly drowning out the information in a quantum computation. Noise is a tough adversary: we show that a large class of error mitigation algorithms -- proposals to "undo" the effects of quantum noise through mostly classical post-processing – can never scale up. Switching gears, we next explore the effects of non-unital noise, a physically natural (yet analytically difficult) class of noise that includes amplitude-damping and photon loss. We show that it creates effectively shallow circuits, in the process displaying the strongest known bound on average convergence of quantum states under such noise.
Bio: Yihui's research is centered on the questions "How can we exploit the laws of Physics to compute faster, and how can our current explosive computational capacity aid the discovery of new Physics?" Her research uses computational complexity theory to guide the development of small, experimental quantum computers. She is currently a postdoctoral fellow at MIT, having also spent time at the Simons Institute for the Theory of Computing, Harvard University and the Dahlem Center for Complex Quantum Systems in Berlin. She obtained her PhD from Stanford University in Jan 2022 and a BS from MIT in 2016. Her research has been recognized by a Research Excellence award from IBM, a Quantum Creators' Prize from the University of Chicago and the Quantum Innovator accolade from the University of Waterloo./media:description>
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yt:videoId>Fg6R5Nwd-Cc/yt:videoId>
yt:channelId>UClBNq7mCMf5xm8baE_VMl3A/yt:channelId>
title>Virtual Channel Purification | Qiskit Quantum Seminar with Zhenyu Cai/title>
link rel="alternate" href="https://www.youtube.com/watch?v=Fg6R5Nwd-Cc"/>
author>
name>Qiskit/name>
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published>2024-04-12T18:58:20+00:00/published>
updated>2024-04-13T06:49:17+00:00/updated>
media:group>
media:title>Virtual Channel Purification | Qiskit Quantum Seminar with Zhenyu Cai/media:title>
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media:description>Quantum error mitigation is a key approach for extracting target state properties on state-of-the-art noisy machines and early fault-tolerant devices. Using the ideas from flag fault tolerance and virtual state purification, we develop the virtual channel purification (VCP) protocol, which consumes similar qubit and gate resources as virtual state purification but offers up to exponentially stronger error suppression with increased system size and more noisy operation copies. Furthermore, VCP removes most of the assumptions required in virtual state purification. Essentially, VCP is the first quantum error mitigation protocol that does not require specific knowledge about the noise models, the target quantum state, and the target problem while still offering rigorous performance guarantees for practical noise regimes. Further connections are made between VCP and quantum error correction to produce one of the first protocols that combine quantum error correction and quantum error mitigation beyond concatenation. We can remove all noise in the channel while paying only the same sampling cost as low-order purification, reaching beyond the standard bias-variance trade-off in quantum error mitigation.
Zhenyu Cai is the Junior Research Fellow in Physics at St John’s College, Oxford. Prior to that, he obtained his BA and MSci at Trinity College, Cambridge, and his DPhil in Oxford. He currently also holds a consulting role in the quantum hardware company Quantum Motion as their Senior Quantum Theorist. He works on the practical implementations of quantum error correction and also in the nascent field of quantum error mitigation./media:description>
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yt:channelId>UClBNq7mCMf5xm8baE_VMl3A/yt:channelId>
title>Scalability of quantum error mitigation techniques: from utility to advantage | Quantum Seminar/title>
link rel="alternate" href="https://www.youtube.com/watch?v=S1yZUNH0IMg"/>
author>
name>Qiskit/name>
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published>2024-04-12T18:26:21+00:00/published>
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media:group>
media:title>Scalability of quantum error mitigation techniques: from utility to advantage | Quantum Seminar/media:title>
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media:description>Episode 157
Error mitigation has elevated quantum computing to the scale of hundreds of qubits and tens of layers; however, yet larger scales (deeper circuits) are needed to fully exploit the potential of quantum computing to solve practical problems otherwise intractable. In this talk we will discuss three key results that pave the way for the leap from quantum utility to quantum advantage: (1) we present a thorough derivation of random and systematic errors associated to the most advanced error mitigation strategies, including probabilistic error cancellation (PEC), zero noise extrapolation (ZNE) with probabilistic error amplification, and tensor-network error mitigation (TEM); (2) we prove that TEM (i) has the lowest sampling overhead among all three techniques under realistic noise, (ii) is optimal, in the sense that it saturates the universal lower cost bound for error mitigation, and (iii) is therefore the most promising approach to quantum advantage; (3) we propose a concrete notion of practical quantum advantage in terms of the universality of algorithms, stemming from the commercial need for a problem-independent quantum simulation device. We also establish a connection between error mitigation, relying on additional measurements, and error correction, relying on additional qubits, by demonstrating that TEM with a sufficient bond dimension works similarly to an error correcting code of distance 3. We foresee that the interplay and trade-off between the two resources will be the key to a smooth transition between error mitigation and error correction, and hence between near-term and fault-tolerant quantum computers. Meanwhile, we argue that quantum computing with optimal error mitigation, relying on modest classical computer power for tensor network contraction, has the potential to reach larger scales in accurate simulation than classical methods alone.
References:
1) Sergey N. Filippov, Sabrina Maniscalco, Guillermo García-Pérez, “Scalability of quantum error mitigation techniques: from utility to advantage”, arXiv:2403.13542
2) Sergei Filippov, Matea Leahy, Matteo A. C. Rossi, Guillermo García-Pérez, “Scalable tensor-network error mitigation for near-term quantum computing”, arXiv:2307.11740/media:description>
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id>yt:video:dZWz4Gs_BuI/id>
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title>How to Install Qiskit | Coding with Qiskit 1.x | Programming on Quantum Computers/title>
link rel="alternate" href="https://www.youtube.com/watch?v=dZWz4Gs_BuI"/>
author>
name>Qiskit/name>
uri>https://www.youtube.com/channel/UClBNq7mCMf5xm8baE_VMl3A/uri>
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published>2024-04-10T16:00:29+00:00/published>
updated>2024-04-12T19:29:14+00:00/updated>
media:group>
media:title>How to Install Qiskit | Coding with Qiskit 1.x | Programming on Quantum Computers/media:title>
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media:description>Welcome back to Coding with Qiskit, where IBM research scientist Dr. Derek Wang will get you up to speed with the latest developments in quantum computers for your own work.
This episode will guide you through the installation of the most recent version of Qiskit. Below are links to all the resources and documentation you'll need to get up and running.
Qiskit Resources:
Qiskit Github Notebook: https://qisk.it/cwq-ep2
Installing Qiskit: https://docs.quantum.ibm.com/start/install
Miniconda: https://docs.anaconda.com/free/miniconda/index.html
A free IDE: https://code.visualstudio.com/
Qiskit GitHub: https://github.com/Qiskit
Qiskit - https://qisk.it/cwq-install
IBM Quantum: https://quantum.ibm.com/
Papers Mentioned in the Video:
Benchmarking Quantum Processor Performance at Scale: https://arxiv.org/abs/2311.05933/media:description>
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id>yt:video:5kUPZSgHP7A/id>
yt:videoId>5kUPZSgHP7A/yt:videoId>
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title>What is the difference between logical and physical qubits? - 1 Minute Qiskit/title>
link rel="alternate" href="https://www.youtube.com/watch?v=5kUPZSgHP7A"/>
author>
name>Qiskit/name>
uri>https://www.youtube.com/channel/UClBNq7mCMf5xm8baE_VMl3A/uri>
/author>
published>2024-04-08T16:00:03+00:00/published>
updated>2024-04-11T06:26:45+00:00/updated>
media:group>
media:title>What is the difference between logical and physical qubits? - 1 Minute Qiskit/media:title>
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media:description>Welcome to 1 Minute Qiskit, where we answer your questions
and chat Qiskit tips and tricks.
This week, the question is: What is the difference between
logical qubits and physical qubits?
If you have a question,
feel free to leave it in the comments.
Subscribe for more 1 Minute Qiskit,
as well as other quantum and Qiskit
-related videos.
Thanks for watching. Bye.
Learn more about quantum information on IBM Quantum Learning
https://learning.quantum.ibm.com/course/basics-of-quantum-information
#qiskit #1MinuteQiskit #ibmquantum/media:description>
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entry>
id>yt:video:Tk9LOL9--Y4/id>
yt:videoId>Tk9LOL9--Y4/yt:videoId>
yt:channelId>UClBNq7mCMf5xm8baE_VMl3A/yt:channelId>
title>Introduction to Qiskit | Coding with Qiskit 1.x | Programming on Quantum Computers/title>
link rel="alternate" href="https://www.youtube.com/watch?v=Tk9LOL9--Y4"/>
author>
name>Qiskit/name>
uri>https://www.youtube.com/channel/UClBNq7mCMf5xm8baE_VMl3A/uri>
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published>2024-04-03T16:00:32+00:00/published>
updated>2024-04-05T19:59:38+00:00/updated>
media:group>
media:title>Introduction to Qiskit | Coding with Qiskit 1.x | Programming on Quantum Computers/media:title>
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media:description>Welcome back to Coding with Qiskit, where IBM research scientist Dr. Derek Wang will get you up to speed with the latest developments in quantum computers for your own work.
The foundation and focus will be on Qiskit 1.x, an open source and freely available software development kit that allows you to program useful quantum computational workflows, all the way from building quantum circuits and designing quantum algorithms, to submitting them to real quantum computers and orchestrating large-scale, complex work loads. With 1.0, we expect Qiskit to become much more stable, efficient and serve as the developer-ready software backbone for quantum computational workflow.
Qiskit Resources:
Qiskit - https://qisk.it/cwq-install
Qiskit GitHub - https://github.com/qiskit/qiskit
Qiskit Slack - https://qiskit.slack.com
From Novelty to Utility : Quantum Paper Review - https://youtu.be/CWn5tv9CgBg
Read more at our blog: https://medium.com/qiskit/coming-soon-qiskit-1-0-a8d59c3533a4
Qiskit Features Mentioned in Video:
Primitives - https://docs.quantum.ibm.com/run/primitives-get-started
Dynamic circuits - https://www.ibm.com/quantum/blog/quantum-dynamic-circuits
Transpiler plugins - https://docs.quantum.ibm.com/transpile/transpiler-plugins
Papers Mentioned in Video:
Simulating large-size quantum spin chains on cloud-based superconducting quantum computers
https://arxiv.org/abs/2207.09994
Evidence for the utility of quantum computing before fault tolerance
https://www.nature.com/articles/s41586-023-06096-3
Efficient Long-Range Entanglement using Dynamic Circuits
https://arxiv.org/abs/2308.13065
#ibmquantum #qiskit #learnquantum/media:description>
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entry>
id>yt:video:GmdeT2W-Ahc/id>
yt:videoId>GmdeT2W-Ahc/yt:videoId>
yt:channelId>UClBNq7mCMf5xm8baE_VMl3A/yt:channelId>
title>Presenting: IBM Quantum Learning/title>
link rel="alternate" href="https://www.youtube.com/watch?v=GmdeT2W-Ahc"/>
author>
name>Qiskit/name>
uri>https://www.youtube.com/channel/UClBNq7mCMf5xm8baE_VMl3A/uri>
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published>2024-04-01T16:55:23+00:00/published>
updated>2024-04-03T16:54:41+00:00/updated>
media:group>
media:title>Presenting: IBM Quantum Learning/media:title>
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media:description>A few months ago IBM Quantum launched its own quantum learning application; a website dedicated to educational quantum content for our community. With free courses, tutorials, and features, our hope is that IBM Quantum Learning becomes the go-to place to learn about quantum fundamentals and applications alike, through Qiskit.
In this video, Olivia gives Abby a tour of the app and discusses the current courses, upcoming additions, and how to sign up for your first course.
Head to IBM Quantum Learning now to get started:
https://qisk.it/learning-platform-tour/media:description>
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yt:videoId>xqoHU286kjQ/yt:videoId>
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title>Magic Meets Entanglement: Pseudomagic and Computational Separations | Qiskit Quantum Seminar/title>
link rel="alternate" href="https://www.youtube.com/watch?v=xqoHU286kjQ"/>
author>
name>Qiskit/name>
uri>https://www.youtube.com/channel/UClBNq7mCMf5xm8baE_VMl3A/uri>
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published>2024-03-30T05:21:15+00:00/published>
updated>2024-03-31T11:09:14+00:00/updated>
media:group>
media:title>Magic Meets Entanglement: Pseudomagic and Computational Separations | Qiskit Quantum Seminar/media:title>
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media:description>Episode 155
This week's speaker is Andi Gu.
In his own words:
I will discuss my recent work revealing a surprising interplay between magic and entanglement in quantum information theory. First, I introduce the phenomenon of 'pseudomagic' - families of quantum states with low magic that are computationally indistinguishable from highly magical states. Pseudomagic challenges our intuition about magic's role in quantum properties like chaos and leads to applications in cryptography and stabilizer testing. Second, I establish a computational separation between an ‘entanglement-dominated’ and ‘magic-dominated’ phase, with sharp distinctions in the ability to efficiently measure and manipulate entanglement between these phases. Applications in witnessing and testing entanglement, as well as implications for many-body physics models, will be discussed. Together, these works elucidate conceptual connections between entanglement and magic while leading to operational insights at the boundary between the classical and quantum.
Bio: I am a PhD student at Harvard University in the Quantum Science and Engineering program. I work at the intersection between quantum information and physics. Broadly speaking, I am interested in complexity, both in the statistical mechanical sense (physical systems) and computer science sense (algorithms)./media:description>
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entry>
id>yt:video:CeK9ry8G8HQ/id>
yt:videoId>CeK9ry8G8HQ/yt:videoId>
yt:channelId>UClBNq7mCMf5xm8baE_VMl3A/yt:channelId>
title>Lesson 09: Density Matrices | Understanding Quantum Information & Computation/title>
link rel="alternate" href="https://www.youtube.com/watch?v=CeK9ry8G8HQ"/>
author>
name>Qiskit/name>
uri>https://www.youtube.com/channel/UClBNq7mCMf5xm8baE_VMl3A/uri>
/author>
published>2024-03-27T16:00:15+00:00/published>
updated>2024-03-30T22:56:42+00:00/updated>
media:group>
media:title>Lesson 09: Density Matrices | Understanding Quantum Information & Computation/media:title>
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media:description>In the general formulation of quantum information, quantum states are represented by a special class of matrices called density matrices. This lesson describes the basics of how density matrices work and explains how they relate to quantum state vectors. It also introduces the Bloch sphere, which provides a useful geometric representation of qubit states, and discusses different types of correlations that can be described using density matrices.
0:00 — Introduction
1:46 — Overview
2:55 — Motivation
4:40 — Definition of density matrices
9:55 — Examples
12:58 — Interpretation
15:37 — Connection to state vectors
20:13 — Probabilistic selections
25:23 — Completely mixed state
28:41 — Probabilistic states
32:03 — Spectral theorem
37:36 — Bloch sphere (introduction)
38:36 — Qubit quantum state vectors
41:30 — Pure states of a qubit
43:52 — Bloch sphere
47:38 — Bloch sphere examples
51:36 — Bloch ball
55:40 — Multiple systems
56:46 — Independence and correlation
1:00:55 — Reduced states for an e-bit
1:04:16 — Reduced states in general
1:08:53 — The partial trace
1:12:23 — Conclusion
Find the written content for this lesson on IBM Quantum Learning: https://learning.quantum.ibm.com/course/general-formulation-of-quantum-information/density-matrices
#ibmquantum #learnquantum #qiskit/media:description>
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yt:channelId>UClBNq7mCMf5xm8baE_VMl3A/yt:channelId>
title>Coding with Qiskit 1.x Series Announcement/title>
link rel="alternate" href="https://www.youtube.com/watch?v=oaAjxcIFLtM"/>
author>
name>Qiskit/name>
uri>https://www.youtube.com/channel/UClBNq7mCMf5xm8baE_VMl3A/uri>
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published>2024-03-25T16:00:37+00:00/published>
updated>2024-03-29T13:48:35+00:00/updated>
media:group>
media:title>Coding with Qiskit 1.x Series Announcement/media:title>
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media:description>Welcome back to Coding with Qiskit! Join research scientist Dr. Derek Wang as he walks you through the exciting capabilities of Qiskit 1 for utility scale quantum computing.
He'll show you how to install Qiskit version 1 from scratch and how to run quantum circuits--both unitary and dynamic, all based on some of the latest research papers by IBM Quantum--on devices with over 100 qubits using the latest error suppression and mitigation techniques. He'll also be learning how to contribute to the Qiskit ecosystem with the help of open-source extraordinaire Abby Mitchell.
Remember to subscribe to get notified when the first episode is out!
Read more about Qiskit 1 here: https://www.ibm.com/quantum/blog/qiskit-1-launch
#ibmquantum #qiskit #learnquantum/media:description>
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yt:channelId>UClBNq7mCMf5xm8baE_VMl3A/yt:channelId>
title>Efficient classical shadow tomography with number conservation with Anushya Chandran/title>
link rel="alternate" href="https://www.youtube.com/watch?v=ArisYJQwOSY"/>
author>
name>Qiskit/name>
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/author>
published>2024-03-23T05:24:19+00:00/published>
updated>2024-03-24T08:15:07+00:00/updated>
media:group>
media:title>Efficient classical shadow tomography with number conservation with Anushya Chandran/media:title>
media:content url="https://www.youtube.com/v/ArisYJQwOSY?version=3" type="application/x-shockwave-flash" width="640" height="390"/>
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media:description>Episode 154
Quantum state tomography aims to produce a complete classical description of the state of a quantum system: a prohibitive task requiring exponential resources. Recent works have taken a different approach. They build an efficient classical description of the state, the so-called classical shadow, that can accurately capture properties of interest such as few-body observables, but is a poor approximation to the entire density matrix. The protocol is simple to implement and predicts observables much more efficiently and accurately than other techniques. It has accordingly developed into an important experimental tool.
The original local shadow protocol does not apply to systems with fundamental number conservation laws, such as ultracold atomic systems. This is a serious shortcoming. I will describe a new local shadow tomographic protocol adapted to such systems. The ``All-Pairs'' protocol is simple to implement, tomographically complete, and efficiently invertible. I will present its analytic treatment using the representation theory of the permutation group, provide a reference implementation, and demonstrate the efficiency on simulated data.
Anushya Chandran is a many-body condensed matter physicist at Boston University with broad interests in driven quantum matter, localization, topological systems and many-body entanglement. She obtained her B.Tech degree from the Indian Institute of Technology in Madras in Electrical Engineering, and her PhD from Princeton University in physics. After a postdoctoral position at the Perimeter Institute, she moved to Boston University, where she is now an associate professor. Dr. Chandran is a recipient of the Sloan research Fellowship and the Faculty Early CAREER award from the NSF./media:description>
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yt:videoId>mXkdjgZOuWk/yt:videoId>
yt:channelId>UClBNq7mCMf5xm8baE_VMl3A/yt:channelId>
title>Quantum Crosstalk: Quantum for Computational Scientists with Dr. Derek Wang & Upcoming Events/title>
link rel="alternate" href="https://www.youtube.com/watch?v=mXkdjgZOuWk"/>
author>
name>Qiskit/name>
uri>https://www.youtube.com/channel/UClBNq7mCMf5xm8baE_VMl3A/uri>
/author>
published>2024-03-20T16:00:40+00:00/published>
updated>2024-03-26T15:51:16+00:00/updated>
media:group>
media:title>Quantum Crosstalk: Quantum for Computational Scientists with Dr. Derek Wang & Upcoming Events/media:title>
media:content url="https://www.youtube.com/v/mXkdjgZOuWk?version=3" type="application/x-shockwave-flash" width="640" height="390"/>
media:thumbnail url="https://i2.ytimg.com/vi/mXkdjgZOuWk/hqdefault.jpg" width="480" height="360"/>
media:description>Welcome back to Crosstalk! In Episode 2 we sit down with Derek Wang, a researcher simulating materials and molecules with quantum computers. Derek comes to IBM from a unique background — he was not a native quantum scientist but instead discovered quantum computing when he was exploring ways to compute better and faster simulations during his graduate program.
Derek talks to us about how Qiskit was his gateway into quantum, offers advice for fellow quantum computational scientists thinking about incorporating quantum into their work, and gives us a sneak peak at a new upcoming series
UPCOMING EVENTS:
QWomen
https://medium.com/qiskit/join-us-for-the-quantum-women-invited-talk-series-974319e2f9b4
QRise
https://www.quantumcoalition.io/
YQuantum
https://yquantum.info/
NSBE March 20-24
https://www.eventcreate.com/e/hbcuquantum
USC Industry Days
https://dornsife.usc.edu/giving/industry-days/
QuantuMatter 2024
https://www.quantumconf.eu/2024/
LINKS:
http://qisk.it/crosstaslk-hello-world
http://qisk.it/crosstalk-docs
#ibmquantum #learnquantum #qiskit/media:description>
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/media:community>
/media:group>
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entry>
id>yt:video:N4wzAhyNDfo/id>
yt:videoId>N4wzAhyNDfo/yt:videoId>
yt:channelId>UClBNq7mCMf5xm8baE_VMl3A/yt:channelId>
title>Using Magic States to go Beyond "Break Even" - Quantum Paper Review/title>
link rel="alternate" href="https://www.youtube.com/watch?v=N4wzAhyNDfo"/>
author>
name>Qiskit/name>
uri>https://www.youtube.com/channel/UClBNq7mCMf5xm8baE_VMl3A/uri>
/author>
published>2024-03-18T16:00:17+00:00/published>
updated>2024-04-08T18:17:08+00:00/updated>
media:group>
media:title>Using Magic States to go Beyond "Break Even" - Quantum Paper Review/media:title>
media:content url="https://www.youtube.com/v/N4wzAhyNDfo?version=3" type="application/x-shockwave-flash" width="640" height="390"/>
media:thumbnail url="https://i3.ytimg.com/vi/N4wzAhyNDfo/hqdefault.jpg" width="480" height="360"/>
media:description>Join us again for the 2nd installation of Paper Review! This time we welcome Dr. Brown, Dr. Cross, and Dr.Takita who discuss their recent paper “Encoding Magic States Beyond Break Even Fidelity.”
Don’t know what a magic state even is? Don’t worry! The experts break it down for us.
*Key Points Discussed:*
- *Understanding what is a magic state and what is means to “break even”* Dr. Brown tells us exactly what a magic state is and how it is crucial to quantum computing.
- *Significance of breaking even in the current landscape* Dr. Cross tells us about the error correction strategy being pursued at IBM and how this paper fits into the wider context of error correction in the field.
*Experimental Insights and Challenges:*
Dr. Takita will tell us about how this paper came to be from a discussion about dynamic circuits.
Paper (nature version): https://www.nature.com/articles/s41586-023-06846-3
Paper (arXiv version: https://arxiv.org/abs/2305.13581
*Join the Discussion:*
Share your thoughts and questions about this groundbreaking research in the comments section below. Engage with the scientific community and explore the possibilities of quantum computing together!
*Stay Updated:*
If you're fascinated by the world of quantum computing and scientific exploration, don't forget to like, subscribe, and hit the notification bell to stay updated on our latest episodes and quantum discoveries.
*Thank You for Watching!*
#QuantumComputing #ResearchReview #Qiskit #IBMQuantum #Science #Innovation #FutureTech/media:description>
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yt:channelId>UClBNq7mCMf5xm8baE_VMl3A/yt:channelId>
title>Quantum Events Forecast - Quantum CARLA Barcelona/title>
link rel="alternate" href="https://www.youtube.com/watch?v=aTUvAG04ipc"/>
author>
name>Qiskit/name>
uri>https://www.youtube.com/channel/UClBNq7mCMf5xm8baE_VMl3A/uri>
/author>
published>2024-03-14T13:43:34+00:00/published>
updated>2024-03-17T22:26:03+00:00/updated>
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media:title>Quantum Events Forecast - Quantum CARLA Barcelona/media:title>
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media:thumbnail url="https://i2.ytimg.com/vi/aTUvAG04ipc/hqdefault.jpg" width="480" height="360"/>
media:description>Quantum CARLA Barcelona will be hosted at the prestigious Gaudi room in La Pedrera on March 22.
Quantum Carla Barcelona 2024 is a career symposium inspired by the CARLA project and is organized by the Master in Quantum Science and Technology Barcelona together with the European projects DigiQ, and those attending will get the chance to hear from IBM Quantum team members on careers in quantum science and technologies.
Link to the event page can be found pinned in the comments!
#ibmquantum #learnquantum #qiskit/media:description>
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Qiskit
01.08.2023 19:27:12
01.01.1970 01:00:00
05.05.2023 15:49:24 5 57
16.04.2024 09:30:59
01.01.1970 01:00:00
05.05.2023 15:49:24 5 72
1:: Quantum Computing in Practice Series Trailer
01.01.1970 01:00:00 14.04.2024 16:00:25 Many videos on quantum computing focus on their theoretical concepts or future potential, but in this new series, Dr. Olivia Lanes will show you how to use a quantum computer that exists right now to its fullest potential.
#ibmquantum #learnquantum #qiskit
2:: The (quantum) signal and the noise | Qiskit Quantum Seminar with Yihui Quek
01.01.1970 01:00:00 13.04.2024 05:08:45 Episode 156
Abstract: Can we compute on the quantum processors of today? In this talk, I explore the extent to which noise presents a barrier to this goal by quickly drowning out the information in a quantum computation. Noise is a tough adversary: we show that a large class of error mitigation algorithms -- proposals to "undo" the effects of quantum noise through mostly classical post-processing – can never scale up. Switching gears, we next explore the effects of non-unital noise, a physically natural (yet analytically difficult) class of noise that includes amplitude-damping and photon loss. We show that it creates effectively shallow circuits, in the process displaying the strongest known bound on average convergence of quantum states under such noise.
Bio: Yihui's research is centered on the questions "How can we exploit the laws of Physics to compute faster, and how can our current explosive computational capacity aid the discovery of new Physics?" Her research uses computational complexity theory to guide the development of small, experimental quantum computers. She is currently a postdoctoral fellow at MIT, having also spent time at the Simons Institute for the Theory of Computing, Harvard University and the Dahlem Center for Complex Quantum Systems in Berlin. She obtained her PhD from Stanford University in Jan 2022 and a BS from MIT in 2016. Her research has been recognized by a Research Excellence award from IBM, a Quantum Creators' Prize from the University of Chicago and the Quantum Innovator accolade from the University of Waterloo.
3:: Virtual Channel Purification | Qiskit Quantum Seminar with Zhenyu Cai
01.01.1970 01:00:00 12.04.2024 18:58:20 Quantum error mitigation is a key approach for extracting target state properties on state-of-the-art noisy machines and early fault-tolerant devices. Using the ideas from flag fault tolerance and virtual state purification, we develop the virtual channel purification (VCP) protocol, which consumes similar qubit and gate resources as virtual state purification but offers up to exponentially stronger error suppression with increased system size and more noisy operation copies. Furthermore, VCP removes most of the assumptions required in virtual state purification. Essentially, VCP is the first quantum error mitigation protocol that does not require specific knowledge about the noise models, the target quantum state, and the target problem while still offering rigorous performance guarantees for practical noise regimes. Further connections are made between VCP and quantum error correction to produce one of the first protocols that combine quantum error correction and quantum error mitigation beyond concatenation. We can remove all noise in the channel while paying only the same sampling cost as low-order purification, reaching beyond the standard bias-variance trade-off in quantum error mitigation.
Zhenyu Cai is the Junior Research Fellow in Physics at St John’s College, Oxford. Prior to that, he obtained his BA and MSci at Trinity College, Cambridge, and his DPhil in Oxford. He currently also holds a consulting role in the quantum hardware company Quantum Motion as their Senior Quantum Theorist. He works on the practical implementations of quantum error correction and also in the nascent field of quantum error mitigation.
4:: Scalability of quantum error mitigation techniques: from utility to advantage | Quantum Seminar
01.01.1970 01:00:00 12.04.2024 18:26:21 Episode 157
Error mitigation has elevated quantum computing to the scale of hundreds of qubits and tens of layers; however, yet larger scales (deeper circuits) are needed to fully exploit the potential of quantum computing to solve practical problems otherwise intractable. In this talk we will discuss three key results that pave the way for the leap from quantum utility to quantum advantage: (1) we present a thorough derivation of random and systematic errors associated to the most advanced error mitigation strategies, including probabilistic error cancellation (PEC), zero noise extrapolation (ZNE) with probabilistic error amplification, and tensor-network error mitigation (TEM); (2) we prove that TEM (i) has the lowest sampling overhead among all three techniques under realistic noise, (ii) is optimal, in the sense that it saturates the universal lower cost bound for error mitigation, and (iii) is therefore the most promising approach to quantum advantage; (3) we propose a concrete notion of practical quantum advantage in terms of the universality of algorithms, stemming from the commercial need for a problem-independent quantum simulation device. We also establish a connection between error mitigation, relying on additional measurements, and error correction, relying on additional qubits, by demonstrating that TEM with a sufficient bond dimension works similarly to an error correcting code of distance 3. We foresee that the interplay and trade-off between the two resources will be the key to a smooth transition between error mitigation and error correction, and hence between near-term and fault-tolerant quantum computers. Meanwhile, we argue that quantum computing with optimal error mitigation, relying on modest classical computer power for tensor network contraction, has the potential to reach larger scales in accurate simulation than classical methods alone.
References:
1) Sergey N. Filippov, Sabrina Maniscalco, Guillermo García-Pérez, “Scalability of quantum error mitigation techniques: from utility to advantage”, arXiv:2403.13542
2) Sergei Filippov, Matea Leahy, Matteo A. C. Rossi, Guillermo García-Pérez, “Scalable tensor-network error mitigation for near-term quantum computing”, arXiv:2307.11740
5:: How to Install Qiskit | Coding with Qiskit 1.x | Programming on Quantum Computers
01.01.1970 01:00:00 10.04.2024 16:00:29 Welcome back to Coding with Qiskit, where IBM research scientist Dr. Derek Wang will get you up to speed with the latest developments in quantum computers for your own work.
This episode will guide you through the installation of the most recent version of Qiskit. Below are links to all the resources and documentation you'll need to get up and running.
Qiskit Resources:
Qiskit Github Notebook: https://qisk.it/cwq-ep2
Installing Qiskit: https://docs.quantum.ibm.com/start/install
Miniconda: https://docs.anaconda.com/free/miniconda/index.html
A free IDE: https://code.visualstudio.com/
Qiskit GitHub: https://github.com/Qiskit
Qiskit - https://qisk.it/cwq-install
IBM Quantum: https://quantum.ibm.com/
Papers Mentioned in the Video:
Benchmarking Quantum Processor Performance at Scale: https://arxiv.org/abs/2311.05933
6:: What is the difference between logical and physical qubits? - 1 Minute Qiskit
01.01.1970 01:00:00 08.04.2024 16:00:03 Welcome to 1 Minute Qiskit, where we answer your questions
and chat Qiskit tips and tricks.
This week, the question is: What is the difference between
logical qubits and physical qubits?
If you have a question,
feel free to leave it in the comments.
Subscribe for more 1 Minute Qiskit,
as well as other quantum and Qiskit
-related videos.
Thanks for watching. Bye.
Learn more about quantum information on IBM Quantum Learning
https://learning.quantum.ibm.com/course/basics-of-quantum-information
#qiskit #1MinuteQiskit #ibmquantum
7:: Introduction to Qiskit | Coding with Qiskit 1.x | Programming on Quantum Computers
01.01.1970 01:00:00 03.04.2024 16:00:32 Welcome back to Coding with Qiskit, where IBM research scientist Dr. Derek Wang will get you up to speed with the latest developments in quantum computers for your own work.
The foundation and focus will be on Qiskit 1.x, an open source and freely available software development kit that allows you to program useful quantum computational workflows, all the way from building quantum circuits and designing quantum algorithms, to submitting them to real quantum computers and orchestrating large-scale, complex work loads. With 1.0, we expect Qiskit to become much more stable, efficient and serve as the developer-ready software backbone for quantum computational workflow.
Qiskit Resources:
Qiskit - https://qisk.it/cwq-install
Qiskit GitHub - https://github.com/qiskit/qiskit
Qiskit Slack - https://qiskit.slack.com
From Novelty to Utility : Quantum Paper Review - https://youtu.be/CWn5tv9CgBg
Read more at our blog: https://medium.com/qiskit/coming-soon-qiskit-1-0-a8d59c3533a4
Qiskit Features Mentioned in Video:
Primitives - https://docs.quantum.ibm.com/run/primitives-get-started
Dynamic circuits - https://www.ibm.com/quantum/blog/quantum-dynamic-circuits
Transpiler plugins - https://docs.quantum.ibm.com/transpile/transpiler-plugins
Papers Mentioned in Video:
Simulating large-size quantum spin chains on cloud-based superconducting quantum computers
https://arxiv.org/abs/2207.09994
Evidence for the utility of quantum computing before fault tolerance
https://www.nature.com/articles/s41586-023-06096-3
Efficient Long-Range Entanglement using Dynamic Circuits
https://arxiv.org/abs/2308.13065
#ibmquantum #qiskit #learnquantum
8:: Presenting: IBM Quantum Learning
01.01.1970 01:00:00 01.04.2024 16:55:23 A few months ago IBM Quantum launched its own quantum learning application; a website dedicated to educational quantum content for our community. With free courses, tutorials, and features, our hope is that IBM Quantum Learning becomes the go-to place to learn about quantum fundamentals and applications alike, through Qiskit.
In this video, Olivia gives Abby a tour of the app and discusses the current courses, upcoming additions, and how to sign up for your first course.
Head to IBM Quantum Learning now to get started:
https://qisk.it/learning-platform-tour
9:: Magic Meets Entanglement: Pseudomagic and Computational Separations | Qiskit Quantum Seminar
01.01.1970 01:00:00 30.03.2024 05:21:15 Episode 155
This week's speaker is Andi Gu.
In his own words:
I will discuss my recent work revealing a surprising interplay between magic and entanglement in quantum information theory. First, I introduce the phenomenon of 'pseudomagic' - families of quantum states with low magic that are computationally indistinguishable from highly magical states. Pseudomagic challenges our intuition about magic's role in quantum properties like chaos and leads to applications in cryptography and stabilizer testing. Second, I establish a computational separation between an ‘entanglement-dominated’ and ‘magic-dominated’ phase, with sharp distinctions in the ability to efficiently measure and manipulate entanglement between these phases. Applications in witnessing and testing entanglement, as well as implications for many-body physics models, will be discussed. Together, these works elucidate conceptual connections between entanglement and magic while leading to operational insights at the boundary between the classical and quantum.
Bio: I am a PhD student at Harvard University in the Quantum Science and Engineering program. I work at the intersection between quantum information and physics. Broadly speaking, I am interested in complexity, both in the statistical mechanical sense (physical systems) and computer science sense (algorithms).
10:: Lesson 09: Density Matrices | Understanding Quantum Information & Computation
01.01.1970 01:00:00 27.03.2024 16:00:15 In the general formulation of quantum information, quantum states are represented by a special class of matrices called density matrices. This lesson describes the basics of how density matrices work and explains how they relate to quantum state vectors. It also introduces the Bloch sphere, which provides a useful geometric representation of qubit states, and discusses different types of correlations that can be described using density matrices.
0:00 — Introduction
1:46 — Overview
2:55 — Motivation
4:40 — Definition of density matrices
9:55 — Examples
12:58 — Interpretation
15:37 — Connection to state vectors
20:13 — Probabilistic selections
25:23 — Completely mixed state
28:41 — Probabilistic states
32:03 — Spectral theorem
37:36 — Bloch sphere (introduction)
38:36 — Qubit quantum state vectors
41:30 — Pure states of a qubit
43:52 — Bloch sphere
47:38 — Bloch sphere examples
51:36 — Bloch ball
55:40 — Multiple systems
56:46 — Independence and correlation
1:00:55 — Reduced states for an e-bit
1:04:16 — Reduced states in general
1:08:53 — The partial trace
1:12:23 — Conclusion
Find the written content for this lesson on IBM Quantum Learning: https://learning.quantum.ibm.com/course/general-formulation-of-quantum-information/density-matrices
#ibmquantum #learnquantum #qiskit
11:: Coding with Qiskit 1.x Series Announcement
01.01.1970 01:00:00 25.03.2024 16:00:37 Welcome back to Coding with Qiskit! Join research scientist Dr. Derek Wang as he walks you through the exciting capabilities of Qiskit 1 for utility scale quantum computing.
He'll show you how to install Qiskit version 1 from scratch and how to run quantum circuits--both unitary and dynamic, all based on some of the latest research papers by IBM Quantum--on devices with over 100 qubits using the latest error suppression and mitigation techniques. He'll also be learning how to contribute to the Qiskit ecosystem with the help of open-source extraordinaire Abby Mitchell.
Remember to subscribe to get notified when the first episode is out!
Read more about Qiskit 1 here: https://www.ibm.com/quantum/blog/qiskit-1-launch
#ibmquantum #qiskit #learnquantum
12:: Efficient classical shadow tomography with number conservation with Anushya Chandran
01.01.1970 01:00:00 23.03.2024 05:24:19 Episode 154
Quantum state tomography aims to produce a complete classical description of the state of a quantum system: a prohibitive task requiring exponential resources. Recent works have taken a different approach. They build an efficient classical description of the state, the so-called classical shadow, that can accurately capture properties of interest such as few-body observables, but is a poor approximation to the entire density matrix. The protocol is simple to implement and predicts observables much more efficiently and accurately than other techniques. It has accordingly developed into an important experimental tool.
The original local shadow protocol does not apply to systems with fundamental number conservation laws, such as ultracold atomic systems. This is a serious shortcoming. I will describe a new local shadow tomographic protocol adapted to such systems. The ``All-Pairs'' protocol is simple to implement, tomographically complete, and efficiently invertible. I will present its analytic treatment using the representation theory of the permutation group, provide a reference implementation, and demonstrate the efficiency on simulated data.
Anushya Chandran is a many-body condensed matter physicist at Boston University with broad interests in driven quantum matter, localization, topological systems and many-body entanglement. She obtained her B.Tech degree from the Indian Institute of Technology in Madras in Electrical Engineering, and her PhD from Princeton University in physics. After a postdoctoral position at the Perimeter Institute, she moved to Boston University, where she is now an associate professor. Dr. Chandran is a recipient of the Sloan research Fellowship and the Faculty Early CAREER award from the NSF.
13:: Quantum Crosstalk: Quantum for Computational Scientists with Dr. Derek Wang & Upcoming Events
01.01.1970 01:00:00 20.03.2024 16:00:40 Welcome back to Crosstalk! In Episode 2 we sit down with Derek Wang, a researcher simulating materials and molecules with quantum computers. Derek comes to IBM from a unique background — he was not a native quantum scientist but instead discovered quantum computing when he was exploring ways to compute better and faster simulations during his graduate program.
Derek talks to us about how Qiskit was his gateway into quantum, offers advice for fellow quantum computational scientists thinking about incorporating quantum into their work, and gives us a sneak peak at a new upcoming series
UPCOMING EVENTS:
QWomen
https://medium.com/qiskit/join-us-for-the-quantum-women-invited-talk-series-974319e2f9b4
QRise
https://www.quantumcoalition.io/
YQuantum
https://yquantum.info/
NSBE March 20-24
https://www.eventcreate.com/e/hbcuquantum
USC Industry Days
https://dornsife.usc.edu/giving/industry-days/
QuantuMatter 2024
https://www.quantumconf.eu/2024/
LINKS:
http://qisk.it/crosstaslk-hello-world
http://qisk.it/crosstalk-docs
#ibmquantum #learnquantum #qiskit
14:: Using Magic States to go Beyond "Break Even" - Quantum Paper Review
01.01.1970 01:00:00 18.03.2024 16:00:17 Join us again for the 2nd installation of Paper Review! This time we welcome Dr. Brown, Dr. Cross, and Dr.Takita who discuss their recent paper “Encoding Magic States Beyond Break Even Fidelity.”
Don’t know what a magic state even is? Don’t worry! The experts break it down for us.
*Key Points Discussed:*
- *Understanding what is a magic state and what is means to “break even”* Dr. Brown tells us exactly what a magic state is and how it is crucial to quantum computing.
- *Significance of breaking even in the current landscape* Dr. Cross tells us about the error correction strategy being pursued at IBM and how this paper fits into the wider context of error correction in the field.
*Experimental Insights and Challenges:*
Dr. Takita will tell us about how this paper came to be from a discussion about dynamic circuits.
Paper (nature version): https://www.nature.com/articles/s41586-023-06846-3
Paper (arXiv version: https://arxiv.org/abs/2305.13581
*Join the Discussion:*
Share your thoughts and questions about this groundbreaking research in the comments section below. Engage with the scientific community and explore the possibilities of quantum computing together!
*Stay Updated:*
If you're fascinated by the world of quantum computing and scientific exploration, don't forget to like, subscribe, and hit the notification bell to stay updated on our latest episodes and quantum discoveries.
*Thank You for Watching!*
#QuantumComputing #ResearchReview #Qiskit #IBMQuantum #Science #Innovation #FutureTech
15:: Quantum Events Forecast - Quantum CARLA Barcelona
01.01.1970 01:00:00 14.03.2024 13:43:34 Quantum CARLA Barcelona will be hosted at the prestigious Gaudi room in La Pedrera on March 22.
Quantum Carla Barcelona 2024 is a career symposium inspired by the CARLA project and is organized by the Master in Quantum Science and Technology Barcelona together with the European projects DigiQ, and those attending will get the chance to hear from IBM Quantum team members on careers in quantum science and technologies.
Link to the event page can be found pinned in the comments!
#ibmquantum #learnquantum #qiskit
16:: Phases of Quantum Matter from a Computer-Science Perspective | Victor V. Albert
01.01.1970 01:00:00 01.07.2023 05:16:45 Qiskit Seminar Series Episode 127 with
Your formal invite to weekly Qiskit videos ► https://ibm.biz/q-subscribe
Speaker: Cheng-Ju Lin
Host: Derek Wang
Here's Austin Minnich's seminar from a couple of months ago: https://www.youtube.com/live/lYbPbUu3aGA?feature=share
Abstract:
Quantum simulation continues to be the prime near-term scientific application of noisy large-scale quantum devices. But once one has synthesized a particular quantum state on a device, how does one certify that the state is indeed simulating one's system of interest? I describe some rigorous efforts in extracting coarse-grained properties of certain quantum states that reveal the corresponding phase of matter that the states represent.
Bio:
Victor Albert is a physicist at the National Institute of Standards and Technology and an Adjunct Assistant Professor in the Department of Physics and the Institute for Advanced Computer Studies. He enjoys pursuing the broad area of quantum science, technology, engineering, and mathematics, with topics ranging from superconducting circuits to molecular physics. Victor received his Ph.D. from Yale in 2017. He was a postdoc at Caltech prior to joining QuICS.
17:: Faster Than The Speed Of Light!...Or Not?
01.01.1970 01:00:00 28.06.2023 18:00:03 Join Olivia and Albert Einstein in this video as they explore the concept of the speed of light as a universal barrier. Discover why nothing physical can travel faster than light, and how quantum entanglement is not a "cheat code" to transmit information faster than light.
Check out this link for more information -
https://www.forbes.com/sites/chadorzel/2016/05/04/the-real-reasons-quantum-entanglement-doesnt-allow-faster-than-light-communication/?sh=4b484143a1eb
18:: How do I remove unused qubits from a quantum circuit? - 1 Minute Qiskit
01.01.1970 01:00:00 26.06.2023 13:00:40
19:: Seminar Series with Cheng-Ju Lin
01.01.1970 01:00:00 24.06.2023 05:13:44 Qiskit Seminar Series Episode 126 with Cheng-Ju Lin
Your formal invite to weekly Qiskit videos ► https://ibm.biz/q-subscribe
Speaker: Cheng-Ju Lin
Host: Derek Wang
Here's Austin Minnich's seminar from a couple of months ago: https://www.youtube.com/live/lYbPbUu3aGA?feature=share
Abstract:
The measurement-induced phase transition is a recently discovered phenomenon where mid-circuit measurements in a quantum circuit composed of random unitary gates can drive an entanglement phase transition of the measured quantum states. By adding symmetries to the measurements and the gates, the quantum states can even show richer orders of phases. Nonetheless, verifying such phases on a quantum simulator requires multiple copies of the measured quantum states with the same measurement outcomes, making the verification impossible to scale to a large number of qubits --- the infamous post-selection barrier. We propose a hybrid quantum-classical protocol to overcome this post-selection barrier. This protocol involves executing the circuit and measurements on a quantum simulator, which generates measurement outcomes sampled from the probability distribution dictated by quantum mechanics. Subsequently, we determine an "order parameter" via a classical calculation using only the measurement outcomes to distinguish the phases. We employ this protocol to verify the measurement-induced phase transitions with and without symmetries. Our numerical simulation suggests that our protocol can verify the measurement-induced phases beyond the sizes done in the previous experiments.
Bio:
Dr. Cheng-Ju Lin is an RQS postdoctoral fellow at the University of Maryland. He received his Ph.D. in physics from Caltech in 2019. Before coming to UMD, he was a postdoctoral researcher at Perimeter Institute from 2019 to 2022. His research interests lie at the intersection of many-body physics and quantum/classical simulation. More specifically, he is interested in quantum dynamics in closed and open systems, thermalization and chaos, and the lack of them in quantum many-body systems.
20:: Seminar Series with David Gosset
01.01.1970 01:00:00 17.06.2023 05:11:42 Qiskit Seminar Series with David Gosset
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Speaker: David Gosset
Host: Dr. Zlatko Minev
Slides: https://www.dropbox.com/s/d5e8gc6rqy48pyj/David%20Gosset%20Slides.pdf?dl=0
Abstract:
In this work we provide new techniques for a fundamental and ubiquitous task: simulating measurement of a quantum state in the standard basis. Our algorithms reduce the sampling task to computing poly(n) amplitudes of n-qubit states; unlike previously known techniques they do not require computation of marginal probabilities. First we consider the case where the state of interest is the output state of an m-gate quantum circuit U. We propose an exact sampling algorithm which involves computing O(m) amplitudes of n-qubit states generated by subcircuits of U spanned by the first t=1,2,…,m gates. We show that our algorithm can significantly accelerate quantum circuit simulations based on tensor network contraction methods or low-rank stabilizer decompositions. Second, we consider the case in which ψ is the unique ground state of a local Hamiltonian with a spectral gap that is lower bounded by an inverse polynomial function of n. We prove convergence guarantees for a simple Metropolis-Hastings Markov Chain as well as a more involved continuous-time Markov chain that is related to the so-called fixed node Hamiltonian approach from the quantum Monte Carlo community. This talk is based on joint works arXiv:2112.08499 and arXiv:2207.07044 with Sergey Bravyi, Giuseppe Carleo, and Yinchen Liu.
Bio:
David Gosset is a quantum computer scientist who is interested in quantum algorithms and complexity theory.
He has worked on theoretical questions relevant to small quantum computers, including understanding the computational power of constant-depth quantum circuits and the limits of classical simulation algorithms. He has also investigated the computational power and complexity of quantum many-body systems, and the application of physics-inspired tools from these areas to quantum computer science.
21:: What is an Expectation Value? Quantum Jargon Explained
01.01.1970 01:00:00 14.06.2023 15:00:06 In quantum mechanics, the Expectation Value is the expected value of the result or measurement, of an experiment.
As there are often multiple possible measurement outcomes, the Expectation Value can be thought of as the average of all possible results weighted by their probabilities of occurring.
calculate expectation values with IBM's Qiskit Runtime: https://qiskit.org/ecosystem/ibm-runtime/tutorials/how-to-getting-started-with-estimator.html
calculate expectation values with Qiskit's built-in statevector simulator: https://qiskit.org/documentation/apidoc/primitives.html
22:: A New Twist on the Majorana surface code | Qiskit Seminar Series with Campbell McLauchlan
01.01.1970 01:00:00 13.06.2023 14:22:47 Majorana zero modes (MZMs) are promising candidates for topologically-protected quantum computing hardware, however their large-scale use will likely require quantum error correction. Majorana surface codes (MSCs) have been proposed to achieve this. However, many MSC properties remain unexplored. In this talk I will present a unifying framework for MSC twist defects.
Campbell McLauchlan is a PhD student studying theoretical physics at the University of Cambridge. After completing his Bachelor of Science at the University of Sydney he attended Cambridge to complete the Part III course in Mathematics. In his PhD he works at the Centre for Quantum Information and Foundations, studying quantum computing, quantum information and condensed matter physics. Beyond his research, he writes for the online publication Physics World, as a student contributor, and produces videos and a podcast with the purpose of communicating ideas from physics to a general audience.
23:: Seminar Series with Patrick Coles
01.01.1970 01:00:00 13.06.2023 14:14:14
24:: Seminar Series with Abhishek Agarwal
01.01.1970 01:00:00 13.06.2023 14:03:07
25:: Decoding Quantum Random Codes | Qiskit Seminar Series with Yoshifumi Nakata
01.01.1970 01:00:00 13.06.2023 13:51:52 Qiskit Seminar Series Episode with Yoshifumi Nakata
Decoding Quantum Random Codes
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Speaker: Yoshifumi Nakata
Host: Zlatko Minev
Abstract:
Quantum error correction (QEC) plays a pivotal role toward scalable quantum information processing. Quantum random codes, developed mainly in quantum Shannon theory, stand out for their great performance against various noises. However, decoding random codes poses a significant challenge due to its random nature. In this talk, we address this issue and provide two results. First, we consider the random stabilizer codes generated by shallow random Clifford circuits and demonstrate that their QEC performance is as high as fully random codes and they are efficiently decodable by a tensor-network method. Second, we introduce a universal approach to constructing decoders based on the complementarity principle. The approach offers a near-optimal decoding scheme for any quantum error correcting codes, including non-stabilizer ones, and can be used to decode quantum random codes.
Bio:
Research Associate Professor, Yukawa Institute for Theoretical Physics, Kyoto University
26:: Seminar Series: Quantum Error Correction Beyond Break-Even | Qiskit Seminar Series Volodymyr Sivak
01.01.1970 01:00:00 10.06.2023 05:28:12 Qiskit Seminar Series Episode 124 with Volodymyr Sivak
Quantum Error Correction Beyond Break-Even
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This is Vlad's second time on the seminar, he was one of our earliest guests back in 2020!
https://www.youtube.com/live/HnF7iGA0H-0?feature=share
Speaker: Volodymyr Sivak
Host: Derek Wang
Abstract:
Decoherence is a fundamental phenomenon through which classical behavior emerges from the quantum laws of nature. It is the main obstacle to harnessing these laws for information processing. Quantum error correction (QEC) is a process that allows to protect quantum information from decoherence. Previous experimental attempts to engineer such a process faced the generation of an excessive number of errors that overwhelmed the error-correcting capability of the process itself. In the recent experiment [Nature 616, 50-55 (2023)], we showed for the first time that QEC really works in practice. We used it to extend the lifetime of quantum information by more than 2x.
Bio:
I am from Ukraine, did my undergrad at Moscow Institute of Physics and Technology, then a PhD at Yale University in the group of Michel Devoret. During my time at Yale, I worked on quantum-limited amplifiers, applications of reinforcement learning to quantum control, and quantum error correction of the oscillator grid code (aka Gottesman-Kitaev-Preskill code). Now I am a research scientist at Google Quantum AI, working on the optimization of the quantum processor for the surface code.
27:: Understanding Quantum Information and Computation | Lesson 05 | Quantum Query Algorithms
01.01.1970 01:00:00 08.06.2023 16:53:35 Lesson 5 is the first lesson of the second unit of the series, which is on the fundamentals of quantum algorithms. This lesson is on the query model of computation, and describes a progression of quantum algorithms that offer advantages over classical algorithms within this model. The quantum algorithms include Deutsch’s algorithm, the Deutsch-Josza algorithm, and Simon’s algorithm.
0:00 — Introduction
2:13 — Overview
3:45 — A standard picture of computation
5:19 — The query model of computation
8:19 — Examples of query problems
12:49 — Query gates
22:08 — Deutsch’s algorithm
22:50 — Deutsch’s problem
24:46 — Deutsch’s algorithm
31:08 — Phase kickback
34:06 — The Deutsch-Jozsa circuit
35:40 — The Deutsch-Jozsa problem
37:48 — Deutsch-Jozsa analysis
47:30 — The Bernstein-Vazirani problem
51:53 — Simon’s algorithm
52:46 — Simon’s problem
57:46 — Simon’s algorithm
59:25 — Simon’s algorithm analysis
1:09:28 — Classical post-processing
1:15:31 — Classical difficulty
1:18:14 — Conclusion
Link to textbook lesson: https://learn.qiskit.org/course/algorithms/query-algorithms
Series Overview: https://www.youtube.com/watch?v=0Av89fZenSY&t=0s
#ibmquantum #learnquantum #qiskit
28:: How do I manage lots of parameters? - 1 Minute Qiskit
01.01.1970 01:00:00 05.06.2023 13:00:31 Qiskit 0.42.1
Python 3.8.16
29:: Quantum Divide and Conquer | Qiskit Seminar Series with Andrew Childs
01.01.1970 01:00:00 03.06.2023 05:27:34 Qiskit Seminar Series with Andrew Childs
Quantum Divide and Conquer
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Speaker: Andrew Childs
Host: Zlatko Minev, PhD.
QSim 2023: https://qsimconference.org/
Andrew's Slides: https://www.cs.umd.edu/~amchilds/talks/qdc.pdf
Abstract:
The divide-and-conquer framework, used extensively in classical algorithm design, recursively breaks a problem into smaller subproblems, along with some auxiliary work, to give a recurrence relation for the classical complexity. We describe a quantum divide-and-conquer framework that, in certain cases, yields quantum speedup through an analogous recurrence relation for the quantum query complexity. We apply this framework to obtain near-optimal quantum query complexities for various string problems, such as (i) recognizing regular languages; (ii) decision versions of String Rotation and String Suffix; and natural parameterized versions of (iii) Longest Increasing Subsequence and (iv) Longest Common Subsequence.
Based on joint work with Robin Kothari, Matt Kovacs-Deak, Aarthi Sundaram, and Daochen Wang (arXiv:2210.06419).
Bio:
Andrew Childs, co-director of QuICS, is a professor in the Department of Computer Science and the Institute for Advanced Computer Studies (UMIACS). He is also the director of the NSF Quantum Leap Challenge Institute for Robust Quantum Simulation.
Childs's research interests are in the theory of quantum information processing, especially quantum algorithms. He has explored the computational power of quantum walk, providing an example of exponential speedup, demonstrating computational universality, and constructing algorithms for problems including search and formula evaluation. Childs has also developed fast quantum algorithms for simulating Hamiltonian dynamics. His other areas of interest include quantum query complexity and quantum algorithms for algebraic problems.
Before coming to UMD, Childs was a DuBridge Postdoctoral Scholar at Caltech from 2004-2007 and a faculty member in Combinatorics & Optimization and the Institute for Quantum Computing at the University of Waterloo from 2007-2014. Childs received his doctorate in physics from MIT in 2004.
30:: What is an Ansatz? Quantum Jargon Explained
01.01.1970 01:00:00 31.05.2023 16:00:27 In this series we define common quantum terminology.
So what is an Ansatz?
An ansatz is an educated guess about the value or form of an unknown function and is used to help derive the real solution of an equation
In quantum computing ansatz is usually a parameterized circuit often used in variational algorithms such as VQE.
This ansatz is used as a starting point or trial state which is then iteratively updated as more information is calculated.
Picking a good ansatz is important when running quantum experiments as a well chosen ansatz can drastically improve the accuracy of your results.
31:: Check your Qiskit Version
01.01.1970 01:00:00 29.04.2023 13:00:12
32:: Techniques for Finding Exact Solutions of Interacting Dissipative Quantum Systems
01.01.1970 01:00:00 29.04.2023 05:14:53
33:: How do we communicate with all of the Qubits?
01.01.1970 01:00:00 25.04.2023 13:00:26
34:: How do I check state fidelity with a noisy simulator? - 1 Minute Qiskit
01.01.1970 01:00:00 24.04.2023 13:00:12
35:: Is Osprey a "Hero" Device?
01.01.1970 01:00:00 22.04.2023 13:00:18
36:: Homomorphic Logical Measurements | Qiskit Seminar Series with Shilin Huang
01.01.1970 01:00:00 22.04.2023 05:15:48
37:: Did you ever think we'd build a 433 Qubit Processor?
01.01.1970 01:00:00 18.04.2023 13:00:21
38:: Osprey Introduction
01.01.1970 01:00:00 15.04.2023 13:00:09
39:: Experimental Realization of a Measurement-Induced Entanglement Phase Transition w/ Austin Minnich
01.01.1970 01:00:00 15.04.2023 05:08:51
40:: If you find yourself on Jeopardy...
01.01.1970 01:00:00 11.04.2023 13:00:30
41:: What is gate fidelity and how do I calculate it? - 1 Minute Qiskit
01.01.1970 01:00:00 10.04.2023 13:00:11
42:: Laptops wouldn't exist without Quantum Mechanics
01.01.1970 01:00:00 08.04.2023 13:00:10
43:: Making your first commit to Qiskit
01.01.1970 01:00:00 01.04.2023 04:00:03
44:: Quantum Machine Learning from Algorithms to Hardware | Qiskit Seminar Series w/ Sona Najafi
01.01.1970 01:00:00 31.03.2023 17:17:40
45:: Everything you need to know before you commit to Qiskit
01.01.1970 01:00:00 31.03.2023 04:00:32
46:: Working with others on GitHub
01.01.1970 01:00:00 30.03.2023 17:00:12
47:: GitHub 101
01.01.1970 01:00:00 29.03.2023 15:59:00
48:: 'Learning' Entanglement in Quantum Simulation | Seminar Series with Peter Zoller
01.01.1970 01:00:00 24.03.2023 17:20:39
49:: Can ChatGPT Pass the Qiskit Developer Certification?
01.01.1970 01:00:00 23.03.2023 16:00:09
50:: How do I Initialize Mixed States? 1 Minute Qiskit
01.01.1970 01:00:00 20.03.2023 13:00:25
51:: Seminar Series: Engineering nonlinear Hamiltonians with Flux-Tunable Superconducting Circuits
01.01.1970 01:00:00 17.03.2023 17:23:45
52:: Seminar Series with Christine Muschik
01.01.1970 01:00:00 15.03.2023 22:34:20
53:: Seminar Series with Elham Kashefi
01.01.1970 01:00:00 15.03.2023 22:31:25
54:: How can I estimate Pi using a quantum computer? 1 Minute Qiskit
01.01.1970 01:00:00 14.03.2023 13:00:25
55:: How to Generalize Qubit Circuits to Qudits | Qiskit Seminar Series with Lia Yeh
01.01.1970 01:00:00 10.03.2023 18:43:42
56:: Quantum Error Correction and Machine Noise | Qiskit Seminar Series with Kenneth Brown
01.01.1970 01:00:00 03.03.2023 18:21:37
57:: Quantum Book Recommendations Part 2!
01.01.1970 01:00:00 08.02.2023 17:00:37
58:: How Can I perform Quantum State Tomography?
01.01.1970 01:00:00 06.02.2023 14:00:25
59:: Breaking Changes - 0.40
01.01.1970 01:00:00 31.01.2023 18:39:52
60:: Understanding Quantum Information and Computation | Lesson 3 | Quantum Circuits
01.01.1970 01:00:00 25.01.2023 18:01:23
61:: How Can I Choose the Best Backend From a Provider? - 1 Minute Qiskit
01.01.1970 01:00:00 23.01.2023 14:00:15
62:: Information Scrambling, Error Propagation, and Quantum Advantage in Quantum Simulators
01.01.1970 01:00:00 20.01.2023 18:26:29
63:: Osprey: The World's Largest Quantum Computer
01.01.1970 01:00:00 18.01.2023 17:00:12
64:: 1 Minute Qiskit Question of the Month
01.01.1970 01:00:00 16.01.2023 14:00:32
65:: Quantum Error Correction in Quantum Metrology | Qiskit Seminar Series with Sisi Zhou
01.01.1970 01:00:00 13.01.2023 18:20:29
66:: The Quantum Zeno Effect: From the Arrow Paradox to Freezing Qubits
01.01.1970 01:00:00 11.01.2023 14:00:26
67:: Open Source Quantum Code Best Practices and How to join the Qiskit Ecosystem
01.01.1970 01:00:00 04.01.2023 19:19:47
68:: Learning Global Charges from Local Measurements | Qiskit Seminar Series with Sarang Gopalakrishnan
01.01.1970 01:00:00 16.12.2022 18:09:53
69:: Host Roundtable - Day 12 of 12 Days of Qiskit
01.01.1970 01:00:00 12.12.2022 17:00:11
70:: Qiskit Transpiler Plugin - Day 11 of 12 Days of Qiskit
01.01.1970 01:00:00 11.12.2022 18:12:25
71:: Dynamic Circuits - Day 10 of 12 Days of Qiskit
01.01.1970 01:00:00 10.12.2022 18:06:07
72:: Silq: High-Level Quantum Programming | Qiskit Seminar Series with Benjamin Bichsel
01.01.1970 01:00:00 02.09.2022 00:00:00