Next Challenges in Quantum Simulation

Presentations

• Making Predictions in a Quantum World

  ORAL · Invited

  March 6, 2023, 11:30 AM – March 6, 2023, 12:06 PM

  Publication: Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai, Victor V. Albert, John Preskill, Provably efficient machine learning for quantum many-body problems, Science 377, 1397 (2022).
  
  Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean, Quantum advantage in learning from experiments, Science 376, 1182-1186 (2022).

  Presenters

  • John P Preskill

    • Caltech
    • California Institute of Technology

  Authors

  • John P Preskill

    • Caltech
    • California Institute of Technology

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• On the complexity of implementing Trotter steps

  ORAL · Invited

  March 6, 2023, 12:06 PM – March 6, 2023, 12:42 PM

  Presenters

  • Yuan Su

    • Microsoft Quantum
    • Google Research
    • Google

  Authors

  • Yuan Su

    • Microsoft Quantum
    • Google Research
    • Google

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• Algebraic techniques for quantum chemistry on a quantum computer

  ORAL · Invited

  March 6, 2023, 12:42 PM – March 6, 2023, 1:18 PM

  Presenters

  • Artur F Izmaylov

    • University of Toronto

  Authors

  • Artur F Izmaylov

    • University of Toronto

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• Quantum Simulations of the Standard Model

  ORAL · Invited

  March 6, 2023, 1:18 PM – March 6, 2023, 1:54 PM

  Presenters

  • Martin J Savage

    • UW-Seattle

  Authors

  • Martin J Savage

    • UW-Seattle

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• Simulating one-dimensional quantum chromodynamics on a quantum computer:Real-time evolutions of tetraquarks

  ORAL · Invited

  March 6, 2023, 1:54 PM – March 6, 2023, 2:30 PM

  Publication: arXiv:2207.03473

  Presenters

  • Christine A Muschik

    • University of Waterloo

  Authors

  • Christine A Muschik

    • University of Waterloo

  View abstract →