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Quantum Annealing and Optimization II

FOCUS · G38 · ID: 46806

Presentations

  • A General Method for Solving Systems of Nonlinear Differential Equations on a Quantum Annealer with Application to Molecular Dynamics

    ORAL

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    Publication: A manuscript titled "Molecular Dynamics on Quantum Annealers" has been submitted to Science Advances<br>Preprint of this manuscript has been submitted to arXiv.

    Presenters

    • Igor Gayday

      Marquette University

    Authors

    • Igor Gayday

      Marquette University

    • Dmitri Babikov

      Marquette University

    • Alexander Teplukhin

      Stony Brook University

    • Brian K Kendrick

      Los Alamos Natl Lab, Los Alamos National Laboratory

    • Susan Mniszewski

      Los Alamos National Laboratory

    • Yu Zhang

      Los Alamos National Lab, Los Alamos National Laboratory

    • Sergei Tretiak

      Los Alamos Natl Lab, Los Alamos National Laboratory

    • Pavel A Dub

      Los Alamos Natl Lab, Los Alamos National Laboratory

    View abstract →

  • Quantum Annealing for the Fermi-Hubbard Model

    ORAL

    –

    Presenters

    • Ryan Levy

      UIUC, QuAIL, USRA, NASA, University of Illinois at Urbana-Champai

    Authors

    • Ryan Levy

      UIUC, QuAIL, USRA, NASA, University of Illinois at Urbana-Champai

    • Zoe Gonzalez Izquierdo

      QuAIL, USRA, NASA

    • Zhihui Wang

      USRA; Quantum Artificial Intelligence Laboratory (QuAIL), NASA Ames Research Center, QuAIL, USRA, NASA

    • Eleanor G Rieffel

      NASA Ames Research Center, Quantum Artificial Intelligence Laboratory (QuAIL), NASA Ames Research Center, QuAIL, NASA

    • Filip A Wudarski

      NASA Ames Research Center, QuAIL, USRA, NASA

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  • Fast, Scalable Calibration of a Quantum Annealer

    ORAL

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    Presenters

    • James I Basham

      MIT Lincoln Laboratory, MIT Lincoln Lab

    Authors

    • James I Basham

      MIT Lincoln Laboratory, MIT Lincoln Lab

    • Steven M Disseler

      MIT Lincoln Lab

    • Cyrus F Hirjibehedin

      MIT Lincoln Lab

    • Bryce Fisher

      MIT Lincoln Lab

    • Vladimir Bolkhovsky

      MIT Lincoln Lab

    • John Cummings

      MIT Lincoln Lab

    • Rabindra Das

      Massachusetts Institute of Technology MIT, MIT Lincoln Lab

    • David K Kim

      MIT Lincoln Lab, MIT Lincoln Laboratory

    • Jeffrey M Knecht

      MIT Lincoln Lab

    • Justin L Mallek

      MIT Lincoln Lab

    • Bethany M Niedzielski

      MIT Lincoln Lab, MIT Lincoln Laboratory

    • Ravi Rastogi

      MIT Lincoln Lab

    • Danna Rosenburg

      MIT Lincoln Lab

    • Kyle Serniak

      MIT Lincoln Lab, MIT Lincoln Laboratory

    • Donna-Ruth W Yost

      MIT Lincoln Lab

    • Scott Zarr

      MIT Lincoln Lab

    • Jeffrey A Grover

      Massachusetts Institute of Technology MI, Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology MIT, Northrop Grumman - Mission Systems, Massachusetts Institute of Technology

    • Joseph Gibson

      Dartmouth College

    • Kenneth Zick

      Northrop Grumman Corporation

    • Sergey Novikov

      Northrop Grumman Corporation

    • Steven J Weber

      MIT Lincoln Lab

    • William D Oliver

      Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology Research Laboratory of Electronics, MIT Lincoln Laboratory and Department of Electrical Engineering & Computer Science and Department of Physics, Massachusetts Institute of Technology

    • Jonilyn L Yoder

      MIT Lincoln Lab, MIT Lincoln Laboratory

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  • Design toolkit for quantum discrete optimization

    ORAL

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    Presenters

    • Nicolas P Sawaya

      Intel Corp - Santa Clara, Intel Corporation, Santa Clara

    Authors

    • Nicolas P Sawaya

      Intel Corp - Santa Clara, Intel Corporation, Santa Clara

    • Stuart Hadfield

      NASA Ames Research Center, NASA Quantum Artificial Intelligence Lab (QuAIL), USRA Research Institute for Advanced Computer Science (RIACS)

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  • A bridge between quantum and classical difficulty in portfolio optimization using the Quantum Approximate Optimization Algorithm

    ORAL

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    Publication: Radha, S. K. (2021). Quantum constraint learning for quantum approximate optimization algorithm. arXiv preprint arXiv:2105.06770.<br><br>[planned] Baker, J. S, Radha, S. K, Cunningham, W (2021) A bridge between quantum and classical difficulty in portfolio optimization using the Quantum Approximate Optimization Algorithm<br><br>[planned] Baker, J. S, Radha, S. K, Cunningham, W (2021) Benchmarking Markowitz portfolio optimization on trapped ion quantum computers

    Presenters

    • Jack S Baker

      Agnostiq, University College London

    Authors

    • Jack S Baker

      Agnostiq, University College London

    • Santosh Radha

      Agnostiq Inc, Case Western Reserve University

    • William Cunningham

      Agnostiq

    View abstract →

  • QFold: Quantum Walks and Deep Learning to Solve Protein Folding

    ORAL

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    Publication: https://arxiv.org/pdf/2101.10279.pdf

    Presenters

    • Roberto Campos

      Universidad Complutense de Madrid

    Authors

    • Roberto Campos

      Universidad Complutense de Madrid

    • Pablo Antonio M Casares

      Universidad Complutense de Madrid

    • Miguel Angel Martin-Delgado

      Universidad Complutense de Madrid

    View abstract →

  • Quantum annealing applied to ionic diffusion in solids

    ORAL

    –

    Publication: K. Utimula, T. Ichibha, G. Prayogo, K. Hongo, K. Nakano and R. Maezono, Sci. Rep. 11, 7261 (2021).<br>https://doi.org/10.1038/s41598-021-86274-3

    Presenters

    • Ryo Maezono

      School of Information Science, JAIST, School of Information Science, JAIST, Nomi, Ishikawa, Japan, School of Information Science, JAIST, Nomi, Ishikawa, Japan.

    Authors

    • Ryo Maezono

      School of Information Science, JAIST, School of Information Science, JAIST, Nomi, Ishikawa, Japan, School of Information Science, JAIST, Nomi, Ishikawa, Japan.

    • Keishu Utimula

      School of Materials Science, JAIST

    • Tom Ichibha

      Oak Ridge National Lab, School of Information Science, JAIST

    • Genki I Prayogo

      School of Information Science, JAIST, Nomi, Ishikawa, Japan, School of Information Science, JAIST

    • Kousuke Nakano

      1. International School for Advanced Studies 2. School of Information Science, JAIST, School of Information Science, JAIST, School of Information Science, JAIST, Nomi, Ishikawa, Japan., Condensed matter theory, SISSA

    • Kenta Hongo

      Research Center for Advanced Computing Infrastructure, JAIST, Research Center for Advanced Computing Infrastructure, JAIST, Nomi, Ishikawa, Japan, Research Center for Advanced Computing Infrastructure, JAIST, Nomi, Ishikawa, Japan.

    View abstract →

  • Financial risk analysis using Quantum Computing

    ORAL

    –

    Presenters

    • Pallasena Viswanathan Sriluckshmy

      IQM Germany

    Authors

    • Pallasena Viswanathan Sriluckshmy

      IQM Germany

    • Mario Ponce

      IQM Germany GmbH, IQM Germany

    • Vicente Pina Canelles

      IQM Germany GmbH, IQM Finland Oy

    • Hermanni Heimonen

      IQM Finland Oy

    • Adrian Auer

      IQM Germany GmbH, IQM Germany

    • Bruno Taketani

      IQM Germany

    • Ines de Vega

      IQM

    • Martin Leib

      IQM Germany GmbH, IQM Germany

    View abstract →

  • Reinforcement Learning strategies for Quantum Optimization Algorithms

    ORAL

    –

    Publication: https://arxiv.org/abs/1911.09682

    Presenters

    • Jordi Riu Vicente

      Qilimanjaro Quantum Tech

    Authors

    • Jordi Riu Vicente

      Qilimanjaro Quantum Tech

    • Artur Garcia-Saez

      Qilimanjaro Quantum Tech, Barcelona Supercomputing Center, Qilimanjaro Quantum Tech, BSC, Qilimanjaro Quantum Tech

    View abstract →