meet the meQuanics - Quantum Computing Discussions

meQuanics
meet the meQuanics - Quantum Computing Discussions

meet the meQuanics is a regular podcast discussing the developments in quantum technologies. Targeted at the lay person, we will discuss the state of the art research in quantum enabled technologies with experts worldwide.

  1. meQuanics - QSI@UTS Seminar Series - S25 - Adrian Chapman (University of Sydney)

    04/02/2022

    meQuanics - QSI@UTS Seminar Series - S25 - Adrian Chapman (University of Sydney)

    During this time of lockdown, the centre for quantum software and information (QSI) at the University of Technology Sydney has launched an online seminar series.  With talks once or twice a week from leading researchers in the field, meQuanics is supporting this series by mirroring the audio from each talk.  I would encourage if you listen to this episode, to visit and subscribe to the UTS:QSI YouTube page to see each of these talks with the associated slides to help it make more sense. https://youtu.be/4KIXVQtR9Qw Free-Fermion Solutions and Frustration Graphs   TITLE: Characterization of free-fermion-solvable spin models via graph invariants  SPEAKER: Dr Adrian Chapman  AFFILIATION: ARC Centre of Excellence for Engineered Quantum Systems (EQUS), University of Sydney, Australia  HOSTED BY: A/Prof Chris Ferrie, UTS Centre for Quantum Software and Information   ABSTRACT:  Finding exact solutions to spin models is a fundamental problem of many-body physics. A workhorse technique for exact solution methods is mapping to an effective description by noninteracting fermions. The paradigmatic example of this is the Jordan-Wigner transformation for finding an exact solution to the one-dimensional XY model. Another important example is the exact free-fermion solution to the two-dimensional Kitaev honeycomb model.  I will describe a framework for recognizing general models which can be solved this way by utilizing the tools of graph theory. Our construction relies on a connection to the graph-theoretic problem of recognizing line graphs, which has been solved optimally. A corollary of this result is a complete set of constant-sized frustration structures which obstruct a free-fermion solution. We classify the kinds of Pauli symmetries which can be present in models for which a free-fermion solution exists, and we find that they correspond to either: (i) gauge qubits, (ii) cycles on the free-fermion hopping graph, or (iii) the fermion parity. Clifford symmetries, except in finitely-many cases, must be symmetries of the free-fermion Hamiltonian itself. We expect our characterization to motivate a renewed exploration of free-fermion-solvable models, and I will close with an elaborate discussion of how we expect to generalize our framework beyond generator-to-generator mappings.   RELATED ARTICLES: Characterization of solvable spin models via graph invariants. Quantum 4, 278 (2020). Characterization of solvable spin models via graph invariants: quantum-journal.org/papers/q-2020-06-04-278/   OTHER LINKS: Adrian Chapman Webpage: https://equs.org/users/adrian-chapman

    1h 6m

  2. 04/02/2022

    meQuanics - QSI@UTS Seminar Series - S24 - Ramis Movassagh (Watson AI Lab)

    During this time of lockdown, the centre for quantum software and information (QSI) at the University of Technology Sydney has launched an online seminar series. With talks once or twice a week from leading researchers in the field, meQuanics is supporting this series by mirroring the audio from each talk. I would encourage if you listen to this episode, to visit and subscribe to the UTS:QSI YouTube page to see each of these talks with the associated slides to help it make more sense.  https://youtu.be/2syrO_asU5Y Hardness of Random Circuit Sampling (Google's supremacy experiment)  TITLE: Cayley Path and Quantum Supremacy SPEAKER: Dr Ramis Movassagh  AFFILIATION: MIT-IBM Watson AI Lab, Cambridge MA, USA  HOSTED BY: Prof Michael Bremner, UTS Centre for Quantum Software and Information  ABSTRACT: Given the large push by academia and industry (e.g., IBM and Google), quantum computers with hundred(s) of qubits are at the brink of existence with the promise of outperforming any classical computer. Demonstration of computational advantages of noisy near-term quantum computers over classical computers is an imperative near-term goal. The foremost candidate task for showing this is Random Circuit Sampling (RCS), which is the task of sampling from the output distribution of a random circuit. This is exactly the task that recently Google experimentally performed on 53-qubits. Stockmeyer's theorem implies that efficient sampling allows for estimation of probability amplitudes. Therefore, hardness of probability estimation implies hardness of sampling. We prove that estimating probabilities to within small errors is #P-hard on average (i.e. for random circuits), and put the results in the context of previous works. Some ingredients that are developed to make this proof possible are construction of the Cayley path as a rational function valued unitary path that interpolate between two arbitrary unitaries, an extension of Berlekamp-Welch algorithm that efficiently and exactly interpolates rational functions, and construction of probability distributions over unitaries that are arbitrarily close to the Haar measure.  RELATED ARTICLES: Unitary-valued paths, and an algebraic proof technique in complexity theory: https://ramismovassagh.wordpress.com/... Cayley path and quantum computational supremacy: A proof of average-case #P−hardness of Random Circuit Sampling with quantified robustness: https://arxiv.org/abs/1909.06210 Efficient unitary paths and quantum computational supremacy: A proof of average-case hardness of Random Circuit Sampling: https://arxiv.org/abs/1810.04681  OTHER LINKS: Ramis Movassagh Personal Webpage: https://ramismovassagh.wordpress.com/  MIT-IBM Watson AI Lab: https://mitibmwatsonailab.mit.edu/

    1h 2m
  3. meQuanics - QSI@UTS Seminar Series - S23 - Lieven Vandersypen (QuTech, U. Delft)

    04/02/2022

    meQuanics - QSI@UTS Seminar Series - S23 - Lieven Vandersypen (QuTech, U. Delft)

    During this time of lockdown, the centre for quantum software and information (QSI) at the University of Technology Sydney has launched an online seminar series.  With talks once or twice a week from leading researchers in the field, meQuanics is supporting this series by mirroring the audio from each talk.  I would encourage if you listen to this episode, to visit and subscribe to the UTS:QSI YouTube page to see each of these talks with the associated slides to help it make more sense. https://youtu.be/Dg6Q_F9uI8s Silicon spin qubits gain traction for large-scale quantum computation and simulation.   TITLE: A Scalable “Spins-Inside” Quantum Processor and Simulator SPEAKER: Prof Lieven Vandersypen  AFFILIATION: QuTech, Kavli Institute of Nanoscience, Dept of Quantum Nanoscience, Delft University of Technology, Netherlands  HOSTED BY: Dr JP (Juan Pablo) Dehollain, UTS Centre for Quantum Software and Information   ABSTRACT:  Excellent control of over physical 50 qubits has been achieved, but can we also realize 50 fault-tolerant qubits? Here quantum bits encoded in the spin state of individual electrons in silicon quantum dot arrays have emerged as a highly promising avenue. In this talk, I will present our vision of a large-scale spin-based quantum processor, and our ongoing work to realize this vision. I will also show how the same platform offers a powerful platform for analog quantum simulation of Fermi-Hubbard physics and quantum magnetism.   RELATED ARTICLES: Physics Today 72(8), 38 (2019) npj Quantum Information 3, 34 (2017) Nature 555, 633 (2018) Science 359, 1123 (2018) Phys. Rev. X 9, 021011 (2019) Nature 579, 528 (2020) Nature 580, 355 (2020)   OTHER LINKS: Vandersypen Lab: qutech.nl/vandersypen-lab/ Delft University of Technology: https://www.tudelft.nl/

    1h 9m

  4. 11/14/2021

    meQuanics - QSI@UTS Seminar Series - S22 - Lana Mineh (Bristol University)

    During this time of lockdown, the centre for quantum software and information (QSI) at the University of Technology Sydney has launched an online seminar series.  With talks once or twice a week from leading researchers in the field, meQuanics is supporting this series by mirroring the audio from each talk.  I would encourage if you listen to this episode, to visit and subscribe to the UTS:QSI YouTube page to see each of these talks with the associated slides to help it make more sense. https://youtu.be/rOKpLd4X9jE Finding the ground state of the Hubbard model using hybrid quantum-classical computing.   TITLE: Strategies for solving the Fermi-Hubbard model on near-term quantum computers  SPEAKER: Lana Mineh  AFFILIATION: Quantum Engineering Technology Labs, University of Bristol, UK  HOSTED BY: Prof Michael Bremner, UTS Centre for Quantum Software and Information   ABSTRACT:  The Fermi-Hubbard model is of fundamental importance in condensed-matter physics, yet is extremely challenging to solve numerically. Finding the ground state of the Hubbard model using variational methods has been predicted to be one of the first applications of near-term quantum computers. Here we carry out a detailed analysis and optimisation of the complexity of variational quantum algorithms for finding the ground state of the Hubbard model, including costs associated with mapping to a real-world hardware platform. The depth complexities we find are substantially lower than previous work. We performed extensive numerical experiments for systems with up to 12 sites. The results suggest that the variational ansätze we used -- an efficient variant of the Hamiltonian Variational ansatz and a novel generalisation thereof -- will be able to find the ground state of the Hubbard model with high fidelity in relatively low quantum circuit depth. Our experiments include the effect of realistic measurements and depolarising noise. If our numerical results on small lattice sizes are representative of the somewhat larger lattices accessible to near-term quantum hardware, they suggest that optimising over quantum circuits with a gate depth less than a thousand could be sufficient to solve instances of the Hubbard model beyond the capacity of classical exact diagonalisation.   RELATED ARTICLES:  Strategies for solving the Fermi-Hubbard model on near-term quantum computers: https://arxiv.org/abs/1912.06007  OTHER LINKS: Quantum Engineering Technology Labs: bristol.ac.uk/qet-labs

    42 min
  5. meQuanics - QSI@UTS Seminar Series - S21 - Gerardo Paz Silva (Griffith U)

    11/14/2021

    meQuanics - QSI@UTS Seminar Series - S21 - Gerardo Paz Silva (Griffith U)

    During this time of lockdown, the centre for quantum software and information (QSI) at the University of Technology Sydney has launched an online seminar series.  With talks once or twice a week from leading researchers in the field, meQuanics is supporting this series by mirroring the audio from each talk.  I would encourage if you listen to this episode, to visit and subscribe to the UTS:QSI YouTube page to see each of these talks with the associated slides to help it make more sense. https://youtu.be/a5aa-vU2AHo Controls and frames: A new approach to quantum noise spectroscopy   TITLE: Noise Cancellation and your Quantum Computer  SPEAKER: Dr Gerardo Paz Silva  AFFILIATION: Centre for Quantum Dynamics, Griffith University, Brisbane, Qld, Australia  HOSTED BY:  A/Prof Chris Ferrie, UTS Centre for Quantum Software and Information   ABSTRACT: Noise cancellation, as in everyday headphones, requires the ability to characterize & filter out the noise affecting a system one wants to protect. The last few years have seen the birth of increasingly more powerful Quantum Noise Spectroscopy (QNS) protocols, capable of characterizing the noise affecting a quantum system of interest. However, while many of these protocols have been experimentally verified, all demonstrations have been so far limited to characterizing injected noise. More importantly, even theoretically a fully general protocol is still non-existent. In this talk I will introduce our new approach to the problem, which overcomes these limitations. I will argue that by characterizing only the portions of the noise that are relevant a given set of control capabilities, e.g., available to a particular experiment, many of the existing difficulties in designing a fully general QNS protocol disappear. I describe the key ingredients allowing this and exemplify our results via two paradigmatic examples.   OTHER LINKS: Centre for Quantum Dynamics, Griffith University griffith.edu.au/centre-quantum-dynamics

    1h 9m
  6. meQuanics - QSI@UTS Seminar Series - S20 - Nana Liu (SJTU)

    11/12/2021

    meQuanics - QSI@UTS Seminar Series - S20 - Nana Liu (SJTU)

    During this time of lockdown, the centre for quantum software and information (QSI) at the University of Technology Sydney has launched an online seminar series.  With talks once or twice a week from leading researchers in the field, meQuanics is supporting this series by mirroring the audio from each talk.  I would encourage if you listen to this episode, to visit and subscribe to the UTS:QSI YouTube page to see each of these talks with the associated slides to help it make more sense. https://youtu.be/7wbK_9Sjnv8 Protecting and leveraging quantum machine learning algorithms on a future quantum internet   TITLE: Introducing Adversarial Quantum Learning: Security and machine learning on the quantum internet  SPEAKER: Assistant Professor Nana Liu  AFFILIATION: Shanghai Jiao Tong University, PR China  HOSTED BY: A/Prof Chris Ferrie, UTS Centre for Quantum Software and Information   ABSTRACT:  In the classical world, there is a powerful interplay between security and machine learning deployed in a network, like on the modern internet. What happens when the learning algorithms and the network itself can be quantum? What are the new problems that can arise and can quantum resources offer advantages to their classical counterparts? We explore these questions in a new area called adversarial quantum learning, that combines the area of adversarial machine learning, which investigates security questions in machine learning, and quantum information. For the first part of the talk, I’ll introduce adversarial machine learning and some exciting potential prospects for contributions from quantum information and computation. For the second part of the talk, I’ll present two new works on adversarial quantum learning. Here we are able to quantify the vulnerability of quantum algorithms for classification against adversaries and learn how to leverage quantum noise to improve its robustness against attacks.     RELATED ARTICLES: Vulnerability of quantum classification to adversarial perturbations: https://arxiv.org/abs/1905.04286Quantum noise protects quantum classifiers against adversaries: https://arxiv.org/abs/2003.09416  OTHER LINKS: nanaliu.weebly.com/

    1h 12m

  7. 11/11/2021

    meQuanics - QSI@UTS Seminar Series - S19 - Yuval Sanders (University of Technology Sydney)

    During this time of lockdown, the centre for quantum software and information (QSI) at the University of Technology Sydney has launched an online seminar series.  With talks once or twice a week from leading researchers in the field, meQuanics is supporting this series by mirroring the audio from each talk.  I would encourage if you listen to this episode, to visit and subscribe to the UTS:QSI YouTube page to see each of these talks with the associated slides to help it make more sense. https://youtu.be/qYuxOx4Z8Yk A growing methodological problem for practical quantum algorithms research  TITLE: Why are quantum algorithms papers so #!@*&% long?  SPEAKER: Dr Yuval Sanders  AFFILIATION: Centre for Quantum Software and Information, University of Technology Sydney  ABSTRACT: In this talk I discuss the results of two of my recent quantum algorithms papers: arXiv:2007.07391 and arXiv:2110.05708. Both of these papers are 70+ pages in length and quite dense, which needs some explanation because the underlying ideas are not particularly complicated. The reason for the length is that we, the authors, are effectively compiling quantum algorithms by hand, and we are doing a very crude job of it. I will explain that increasing paper lengths are evidence for a growing methodological problem for practical quantum algorithms research. I will also explain why that methodological problem is in large part responsible to ongoing mistakes in media when attempting to articulate the real-world applications of quantum computers.    HOSTED BY: Associate Professor Troy Lee, Centre for Quantum Software and Information, University of Technology Sydney, Australia  RELATED PAPERS: https://arxiv.org/abs/2007.07391; https://arxiv.org/abs/2110.05708

    1h 4m
  8. meQuanics - QSI@UTS Seminar Series - S18 - Chris Ferrie (University of Technology Sydney)

    11/04/2021

    meQuanics - QSI@UTS Seminar Series - S18 - Chris Ferrie (University of Technology Sydney)

    During this time of lockdown, the centre for quantum software and information (QSI) at the University of Technology Sydney has launched an online seminar series.  With talks once or twice a week from leading researchers in the field, meQuanics is supporting this series by mirroring the audio from each talk.  I would encourage if you listen to this episode, to visit and subscribe to the UTS:QSI YouTube page to see each of these talks with the associated slides to help it make more sense. https://youtu.be/OfY7lFIBTGY Self-Guided Quantum Learning: Estimation via optimisation applied to quantum estimation   TITLE: Self-Guided Quantum Learning  SPEAKER: Associate Professor Chris Ferrie  AFFILIATION: Centre for Quantum Software and Information, University of Technology Sydney, Australia  HOSTED BY: Dr Clara Javaherian, UTS Centre for Quantum Software and Information, Australia   ABSTRACT:  Quantum state learning is often understood as a data analytics problem—large amounts of data collected from many prior repetitions of incompatible measurements need to be churned into a single estimate of a quantum state or channel. In this talk, I will present an adaptive optimisation algorithm which achieves the same goal, but at a drastic reduction in time and space complexity.    RELATED ARTICLES: Experimental realization of self-guided quantum process tomography: https://arxiv.org/abs/1908.01082Experimental Demonstration of Self-Guided Quantum Tomography: https://arxiv.org/abs/1602.04194Self-guided quantum tomography: https://arxiv.org/abs/1406.4101  OTHER LINKS: Chris Ferrie: csferrie.com/

    1h 15m
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4.9
out of 5
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meet the meQuanics is a regular podcast discussing the developments in quantum technologies. Targeted at the lay person, we will discuss the state of the art research in quantum enabled technologies with experts worldwide.

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