Quantum System Learning

Presentations

• Entanglement features of random neural network quantum states

  ORAL

  March 10, 2023, 8:00 AM – March 10, 2023, 8:12 AM

  Publication: X.-Q. Sun, T. Nebabu, X. Han, M. O. Flynn, X.-L. Qi, Phys. Rev. B 106, 115138 (2022)

  Presenters

  • Xiao-Qi Sun

    • University of Illinois at Urbana-Champaign

  Authors

  • Xiao-Qi Sun

    • University of Illinois at Urbana-Champaign

  • Tamra Nebabu

    • Stanford University

  • Xizhi Han

    • Stanford University & University of California, Santa Barbara

  • Michael Flynn

    • Boston University

  • Xiao-Liang Qi

    • Stanford University

  View abstract →

• Training a decoder to retrieve information from a t-doped Clifford black hole

  ORAL

  March 10, 2023, 8:12 AM – March 10, 2023, 8:24 AM

  Publication: L. Leone, S.F.E. Oliviero, S. Piemontese, S. True, A. Hamma; To Learn a Mocking-Black Hole, arXiv:2206.06385

  Presenters

  • Stefano Piemontese

    • University of Massachusetts Boston

  Authors

  • Stefano Piemontese

    • University of Massachusetts Boston

  • Lorenzo Leone

    • University of Massachusetts Boston

  • Salvatore Francesco Emanuele Oliviero

    • University of Massachusetts Boston

  • Sarah True

    • University of Massachusetts Boston

  • Alioscia Hamma

    • Università degli studi di Napoli Federico II
    • Università degli studi di Napoli "Federico II"
    • University of Naples "Federico II"

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• Implicit differentiation of variational quantum algorithms

  ORAL

  March 10, 2023, 8:24 AM – March 10, 2023, 8:36 AM

  Presenters

  • Shahnawaz Ahmed

    • Chalmers Univ of Tech

  Authors

  • Shahnawaz Ahmed

    • Chalmers Univ of Tech

  • Nathan Killoran

    • Xanadu

  • Juan Carrasquilla

    • Vector Institute for Artificial Intelligence

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• Out-of-distribution generalization for learning quantum dynamics

  ORAL

  March 10, 2023, 8:36 AM – March 10, 2023, 8:48 AM

  Publication: Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, and Zoë Holmes. Out-of-distribution generalization for learning quantum dynamics. Version 1. Apr. 21, 2022. arXiv: 2204.10268 [quant-ph].
  Manuscript submitted for publication.

  Presenters

  • Matthias C Caro

    • California Institute of Technology

  Authors

  • Matthias C Caro

    • California Institute of Technology

  • Hsin-Yuan Huang

    • Caltech

  • Nic Ezzell

    • University of Southern California

  • Joe Gibbs

    • AWE
    • Atomic Weapons Establishment

  • Andrew T Sornborger

    • Los Alamos National Laboratory

  • Lukasz Cincio

    • Los Alamos National Laboratory
    • Los Alamos National Lab

  • Patrick J Coles

    • Los Alamos National Laboratory

  • Zoe Holmes

    • Los Alamos National Laboratory
    • École polytechnique fédérale de Lausanne

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• Overparameterization of Realistic Quantum Systems

  ORAL

  March 10, 2023, 8:48 AM – March 10, 2023, 9:00 AM

  Presenters

  • Matthew Duschenes

    • University of Waterloo

  Authors

  • Matthew Duschenes

    • University of Waterloo

  • Juan Carrasquilla

    • Vector Institute

  • Raymond Laflamme

    • University of Waterloo

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• Differential Optimization of Quantum Circuits Dominated by Clifford Gates

  ORAL

  March 10, 2023, 9:00 AM – March 10, 2023, 9:12 AM

  Presenters

  • Andi Gu

    • Harvard University

  Authors

  • Andi Gu

    • Harvard University

  • Hong-Ye Hu

    • Harvard University
    • University of California, San Diego

  • Di Luo

    • Massachusetts Institute of Technology

  • Yi Tan

    • Harvard University

  • Taylor L Patti

    • NVIDIA
    • Harvard University

  • Nicholas C Rubin

    • Google

  • Ryan Babbush

    • Google

  • Susanne F Yelin

    • Harvard University

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• Extraction of Hamiltonian parameters from quantum ground states using variational quantum convolutional neural network

  ORAL

  March 10, 2023, 9:12 AM – March 10, 2023, 9:24 AM

  Presenters

  • Jian Feng Kong

    • Institute of High Performance Computing

  Authors

  • Jian Feng Kong

    • Institute of High Performance Computing

  • Jun Yong Khoo

    • Institute of High Performance Computing

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• Learning Energy-Based Representations of Many-Body Quantum States

  ORAL

  March 10, 2023, 9:24 AM – March 10, 2023, 9:36 AM

  Publication: Abhijith J., Marc Vuffray, Andrey Y. Lokhov, "Learning Energy-Based Representations of Many-Body Quantum States", in preparation.

  Presenters

  • Andrey Y Lokhov

    • Los Alamos National Laboratory

  Authors

  • Andrey Y Lokhov

    • Los Alamos National Laboratory

  • Abhijith Jayakumar

    • Los Alamos National Laboratory

  • Marc Vuffray

    • Los Alamos Natl Lab

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• Symmetry exploitation in quantum circuits

  ORAL

  March 10, 2023, 9:36 AM – March 10, 2023, 9:48 AM

  Publication: M. Mansky, D. Diefenthaler and C. Linnhoff-Popien, "Symmetry exploitation in Variational Quantum Circuits", to be submitted

  Presenters

  • Maximilian B Mansky

    • Ludwig-Maximilians-Universität München

  Authors

  • Maximilian B Mansky

    • Ludwig-Maximilians-Universität München

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• Learning quantum systems via out-of-time-order correlators

  ORAL

  March 10, 2023, 9:48 AM – March 10, 2023, 10:00 AM

  Publication: https://arxiv.org/abs/2208.02254 and https://arxiv.org/abs/2208.02256

  Presenters

  • Masoud Mohseni

    • Google

  Authors

  • Masoud Mohseni

    • Google

  • Thomas Schuster

    • University of California, Berkeley

  • Jordan Cotler

    • Harvard University

  • Murphy Yuezhen Niu

    • Google LLC

  • Thomas E O'Brien

    • Google LLC

  • Jarrod McClean

    • Google LLC

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• Decoding imperfect stabilizer codes with quantum neural networks

  ORAL

  March 10, 2023, 10:00 AM – March 10, 2023, 10:12 AM

  Publication: The publication is currently under review.

  Presenters

  • Weishun Zhong

    • Massachusetts Institute of Technology

  Authors

  • Weishun Zhong

    • Massachusetts Institute of Technology

  • Oles Shtanko

    • IBM Quantum
    • University of Maryland, College Park

  • Ramis Movassagh

    • Google Quantum AI
    • IBM Quantum & Google Quantum AI

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• Decoding surface codes with deep reinforcement learning and probabilistic policy reuse

  ORAL

  March 10, 2023, 10:12 AM – March 10, 2023, 10:24 AM

  Publication: Manuscript in preparation

  Presenters

  • Elisha Siddiqui Matekole

    • Riverlane

  Authors

  • Elisha Siddiqui Matekole

    • Riverlane

  • Esther Ye

    • Department of Physics, Boston University, Boston, MA 02215, USA

  • Ramya Iyer

    • Stanford University, Stanford, CA 94305, USA

  • Samuel Yen-Chi Chen

    • Brookhaven National Laboratory

  • Tzu-Chieh Wei

    • Stony Brook University
    • Stony Brook University (SUNY)

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• A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers

  ORAL

  March 10, 2023, 10:24 AM – March 10, 2023, 10:36 AM

  Publication: Xuchen You, Shouvanik Chakrabarti, and Xiaodi Wu. A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers. arXiv:2205.12481

  Presenters

  • Xuchen You

    • University of Maryland, College Park

  Authors

  • Xuchen You

    • University of Maryland, College Park

  • Shouvanik Chakrabarti

    • JPMorgan Chase

  • Xiaodi Wu

    • University of Maryland, College Park

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• Error-tolerant quantum convolutional neural networks for the recognition of symmetry-protected topological phases

  ORAL

  March 10, 2023, 10:36 AM – March 10, 2023, 10:48 AM

  Presenters

  • Petr Zapletal

    • University of Erlangen-Nuremberg

  Authors

  • Petr Zapletal

    • University of Erlangen-Nuremberg

  • Nathan A McMahon

    • Friedrich-Alexander University Erlangen-Nurnberg

  • Michael J Hartmann

    • Friedrich-Alexander University Erlangen-Nuremberg
    • Friedrich-Alexander University Erlangen
    • Friedrich-Alexander-Universität Erlangen-Nürnberg

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• Online adaptive estimation of decoherence timescales for a single qubit

  ORAL

  March 10, 2023, 10:48 AM – March 10, 2023, 11:00 AM

  Publication: Online adaptive estimation of decoherence timescales for a single qubit (arXiv:2210.06103v2)

  Presenters

  • Muhammad Junaid Arshad

    • Heriot-Watt University

  Authors

  • Muhammad Junaid Arshad

    • Heriot-Watt University

  • Christiaan Bekker

    • Heriot-Watt University

  • Ben Haylock

    • Heriot-Watt University

  • Krzysztof Skrzypczak

    • Heriot-Watt University

  • Daniel White

    • Heriot-Watt University

  • Benjamin Griffiths

    • University of Oxford

  • Joe Gore

    • University of Warwick

  • Gavin Morley

    • University of Warwick

  • Patrick Salter

    • University of Oxford

  • Jason Smith

    • University of Oxford

  • Inbar Zohar

    • Weizmann Institute of Science

  • Amit Finkler

    • Weizmann Institute of Science

  • Yoann Altmann

    • Heriot-Watt University

  • Erik Gauger

    • Heriot-Watt University

  • Cristian Bonato

    • Heriot-Watt University
    • Bonato
    • Heriot-Watt University, Edinburgh

  View abstract →