Heterogeneous Design for Quantum Applications

FOCUS · B51 · ID: 2154990

Presentations

  • Nana Liu: Analog quantum simulation of partial differential equations

    ORAL · Invited

    –

    Publication: 1. Analog quantum simulation of partial differential equations, Shi Jin, Nana Liu, arXiv: 2308.00646, 2023
    2. Quantum simulation of partial differential equations: applications and detailed analysis, Shi Jin, Nana Liu, Yue Yu, Physical Review A, Vol 108, 032603, 2023
    3. Quantum simulation of Maxwell's equations via Schrodingerisation, Shi Jin, Nana Liu and Chuwen Ma, arXiv: 2308.08408, 2023
    4. Dilation theorem via Schrodingerisation, with applications to the quantum simulation of differential equations, Junpeng Hu, Shi Jin, Nana Liu and Lei Zhang, arXiv: 2309.16262, 2023

    Presenters

    • Nana Liu

      Shanghai Jiao Tong University

    Authors

    • Nana Liu

      Shanghai Jiao Tong University

    View abstract →

  • Towards efficient quantum algorithms for large-scale machine-learning models

    ORAL

    –

    Publication: The paper is based on https://arxiv.org/abs/2303.03428.

    Presenters

    • Junyu Liu

      University of Chicago

    Authors

    • Junyu Liu

      University of Chicago

    • Minzhao Liu

      University of Chicago

    • Jin-Peng Liu

      Massachusetts Institute of Technology, University of Maryland

    • Ziyu Ye

      University of Chicago

    • Yunfei Wang

      Brandeis University

    • Yuri Alexeev

      Argonne National Laboratory

    • Jens Eisert

      Freie Universitat Berlin, Free University of Berlin

    • Liang Jiang

      University of Chicago

    View abstract →

  • Quantum topological data analysis: using Fourier analysis to learn topological properties

    ORAL

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    Publication: 3 papers in the making coming from the project: "Quantum topological data analysis: using Fourier analysis to learn topological properties", "Entering the hyper-sphere to explore the topology of data", "The topology of data can be learned"

    Presenters

    • Stefano Scali

      University of Exeter

    Authors

    • Stefano Scali

      University of Exeter

    • Oleksandr Kyriienko

      University of Exeter

    • Chukwudubem Umeano

      University of Exeter

    View abstract →

  • Quantum algorithm to solve unsteady nonlinear flows and its execution

    ORAL

    –

    Publication: S.S. Bharadwaj and K.R. Sreenivasan, Hybrid quantum algorithms for flow problems, 2023 (Accepted in PNAS)
    S.S. Bharadwaj and K.R. Sreenivasan, Quantum computation of fluid dynamics, Ind. Acad. Sci. Conf. Ser. 3,
    77 (2020)

    Presenters

    • Sachin Satish Bharadwaj

      New York University (NYU), New York University

    Authors

    • Sachin Satish Bharadwaj

      New York University (NYU), New York University

    • Katepalli R Sreenivasan

      New York University

    View abstract →

  • Quantum computation of stopping power for inertial fusion target design I: Physics overview and the limits of classical algorithms

    ORAL

    –

    Publication: N.C. Rubin, et al., Quantum computation of stopping power for inertial fusion target design, arXiv:2308.12352 (2023)

    Presenters

    • Andrew D Baczewski

      Sandia National Laboratories

    Authors

    • Nicholas C Rubin

      Google, Google Quantum AI

    • Dominic W Berry

      Macquarie University

    • Alina Kononov

      Sandia National Laboratories

    • Fionn D Malone

      Google, Google Quantum AI

    • Tanuj Khattar

      Google Quantum AI

    • Alec White

      QSimulate, Quantum Simulation Technologies Inc.

    • Joonho Lee

      Harvard University

    • Hartmut Neven

      Google, Google Quantum AI

    • Ryan Babbush

      Google LLC, Google, Google Quantum AI

    • Andrew D Baczewski

      Sandia National Laboratories

    View abstract →

  • Quantum computation of stopping power for inertial fusion target design II: Quantum algorithm and resource estimation

    ORAL

    –

    Publication: https://arxiv.org/abs/2308.12352

    Presenters

    • Nicholas C Rubin

      Google, Google Quantum AI

    Authors

    • Nicholas C Rubin

      Google, Google Quantum AI

    • Dominic W Berry

      Macquarie University

    • Alina Kononov

      Sandia National Laboratories

    • Fionn D Malone

      Google, Google Quantum AI

    • Tanuj Khattar

      Google LLC

    • Alec White

      QSimulate, Quantum Simulation Technologies Inc.

    • Joonho Lee

      Harvard University

    • Hartmut Neven

      Google, Google Quantum AI

    • Ryan Babbush

      Google LLC, Google, Google Quantum AI

    • Andrew D Baczewski

      Sandia National Laboratories

    View abstract →

  • Initial Investigations at the Intersection of Automation Algorithms with Quantum Computation

    ORAL

    –

    Publication: [1] Rangan, K. K., Oyama, H., Assoumani, I. A., Durand, H., & Simon Ng, K. Y. (2023). Cyberphysical Systems and Energy: A Discussion with Reference to an Enhanced Geothermal Process. Editor: Li, Mingheng. AIP Publishing.
    [2] Nieman, K., Kasturi Rangan, K., & Durand, H. (2022). Control implemented on quantum computers: Effects of noise, nondeterminism, and entanglement. Industrial & Engineering Chemistry Research, 61(28), 10133-10155.

    Presenters

    • Helen Durand

      Wayne State University

    Authors

    • Helen Durand

      Wayne State University

    • Kip Nieman

      Wayne State University

    • Keshav Kasturi Rangan

      Wayne State University

    View abstract →

  • QSlack I: Theory of a slack-variable approach for variational quantum semi-definite programming

    ORAL

    –

    Presenters

    • Hanna K Westerheim

      Cornell University

    Authors

    • Hanna K Westerheim

      Cornell University

    • Mark M Wilde

      Cornell University

    • Jenny Chen

      Cornell University

    • Dhrumil J Patel

      Cornell University

    • Zoe P Holmes

      Los Alamos National Laboratory, École Polytechnique Fédérale de Lausanne

    • Soorya Rethinasamy

      Cornell University

    • Ivy Luo

      Cornell University

    • Kathy Wang

      Cornell University

    • Theshani Nuradha

      Cornell University

    View abstract →

  • QSlack II: Applications of a slack-variable approach for variational quantum semi-definite programming

    ORAL

    –

    Presenters

    • Jenny Chen

      Cornell University

    Authors

    • Jenny Chen

      Cornell University

    • Hanna K Westerheim

      Cornell University

    • Mark M Wilde

      Cornell University

    • Zoe P Holmes

      Los Alamos National Laboratory, École Polytechnique Fédérale de Lausanne

    • Dhrumil J Patel

      Cornell University

    • Soorya Rethinasamy

      Cornell University

    • Theshani Nuradha

      Cornell University

    • Ivy Luo

      Cornell University

    • Kathy Wang

      Cornell University

    View abstract →

  • Systems Architecture for Quantum Random Access Memory

    ORAL

    –

    Publication: Arxiv: https://doi.org/10.48550/arXiv.2306.03242
    56th IEEE/ACM International Symposium on Microarchitecture: https://doi.org/10.48550/arXiv.2306.03242

    Presenters

    • Shifan Xu

      Yale University

    Authors

    • Shifan Xu

      Yale University

    • Connor T Hann

      AWS Center for Quantum Computing

    • Ben Foxman

      Yale University

    • Steven M Girvin

      Yale University

    • Yongshan Ding

      University of Chicago

    View abstract →

  • Quantum Memory: a missing piece in quantum computing units

    ORAL

    –

    Presenters

    • Chenxu Liu

      Pacific Northwest National Laboratory

    Authors

    • Chenxu Liu

      Pacific Northwest National Laboratory

    • Meng Wang

      The University of British Columbia

    • Samuel A Stein

      Pacific Northwest National Laboratory

    • Yufei Ding

      University of California San Diego

    • Ang Li

      Pacific Northwest National Laboratory

    View abstract →