Variational Quantum Algorithms on Noisy Hardware

FOCUS · M51 · ID: 2155004

Presentations

  • Good and Bad News for Noisy Variational Quantum Algorithms – Part I

    ORAL · Invited

    –

    Publication: K. Dalton, et al., https://arxiv.org/abs/2211.04505
    C. Long, et al., https://arxiv.org/abs/2308.11708
    N. Yanakiev, et al. https://arxiv.org/abs/2309.00047

    Presenters

    • David R Arvidsson-Shukur

      Hitachi Cambridge Laboratory

    Authors

    • David R Arvidsson-Shukur

      Hitachi Cambridge Laboratory

    • Christopher K Long

      The University of Cambridge

    • Kieran Dalton

      ETH

    • Nikola Yanakiev

      The University of Cambridge, University of Cambridge

    • Crispin H Barnes

      Cavendish Laboratory, University of Cambridge, The University of Cambridge, University of Cambridge, Univ of Cambridge

    • Yordan S Yordanov

      Univ of Cambridge

    • Charles Smith

      Hitachi Cambridge Laboratory, University of Cambridge, Hitachi Cambridge Laboratory

    • Normann Mertig

      Hitachi Europe, Hitachi Cambridge Laboratory

    View abstract →

  • Good and Bad News for Noisy Variational Quantum Algorithms – Part II

    ORAL

    –

    Publication: https://arxiv.org/abs/2309.00047

    Presenters

    • Christopher K Long

      The University of Cambridge

    Authors

    • Christopher K Long

      The University of Cambridge

    • Nikola Yanakiev

      The University of Cambridge, University of Cambridge

    • Crispin H Barnes

      Cavendish Laboratory, University of Cambridge, The University of Cambridge, University of Cambridge, Univ of Cambridge

    • Normann Mertig

      Hitachi Europe, Hitachi Cambridge Laboratory

    • David R Arvidsson-Shukur

      Hitachi Cambridge Laboratory

    View abstract →

  • On Penalty Functions for Variational Quantum Algorithms

    ORAL

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    Publication: Universal variational quantum computation
    J Biamonte
    Physical Review A 103, L030401 (2021)
    DOI: 10.1103/PhysRevA.103.L030401

    On the Universality of the Quantum Approximate Optimization Algorithm
    M Morales, J Biamonte, and Z Zimborás
    Quantum Information Processing 19, 291 (2020) DOI: 10.1007/s11128-020-02748-9

    Training Saturation in Layerwise Quantum Approximate Optimisation
    E Campos, D Rabinovich, V Akshay, and J Biamonte
    Physical Review A 104:L030401 (2021) DOI: 10.1103/PhysRevA.104.L030401

    Presenters

    • Jacob Biamonte

      NASA Ames Research Center

    Authors

    • Jacob Biamonte

      NASA Ames Research Center

    View abstract →

  • Engineered dissipation to mitigate barren plateaus

    ORAL

    –

    Publication: [1] M. Cerezo, A. Arrasmith, R. Babbush, S. C. Benjamin, S. Endo, K. Fujii, J. R. McClean, K. Mitarai, X. Yuan, L. Cincio, et al., Variational quantum algorithms, Nature Reviews Physics 3, 625 (2021).
    [2] J. R. McClean, S. Boixo, V. N. Smelyanskiy, R. Babbush, and H. Neven, Barren plateaus in quantum neural network training landscapes, Nature communications 9,1 (2018).
    [3] F. Verstraete, M. M. Wolf, and J. Ignacio Cirac, Quantum computation and quantum-state engineering driven by dissipation, Nature physics 5, 633 (2009)

    Presenters

    • Antonio Sannia

      IFISC (CSIC-UIB)

    Authors

    • Antonio Sannia

      IFISC (CSIC-UIB)

    • Francesco Tacchino

      IBM Research Zurich

    • Ivano Tavernelli

      IBM Research - Zurich, IBM Quantum, IBM Research – Zurich, 8803, Rüschlikon, Switzerland

    • Gian Luca Giorgi

      IFISC (CSIC-UIB)

    • Roberta Zambrini

      Instituto de Fisica Interdisciplinar y Sistemas Complejos, IFISC (CSIC-UIB)

    View abstract →

  • Approximate Quantum Algorithms for Efficient Classical-to-Quantum Data Loading and Encoding

    ORAL

    –

    Publication: G. Marin-Sanchez, J. Gonzalez-Conde and M. Sanz, Quantum algorithms for approximate function loading. Phys. Rev. Research 5, 033114 (2023).
    J. Gonzalez-Conde, T. W. Watts, P. Rodriguez-Grasa and M. Sanz, Efficient quantum amplitude encoding of polynomial functions,.arXiv:2307.10917 (2023).
    P. Rodriguez-Grasa, R. Ibarrondo, J. Gonzalez-Conde and M. Sanz, Quantum approximated cloning-assisted density matrix exponentiation. In preparation.

    Presenters

    • Mikel Sanz

      University of the Basque Country UPV/EHU, Univ del Pais Vasco

    Authors

    • Mikel Sanz

      University of the Basque Country UPV/EHU, Univ del Pais Vasco

    • Javier Gonzalez-Conde

      University of the Basque Country

    • Ruben Ibarrondo

      University of the Basque Country, University of the Basque Country (UPV/EHU)

    • Pablo Rodriguez-Grasa

      University of the Basque Country

    View abstract →

  • Algorithmic Developments for Calculating Excited States on Quantum Hardware

    ORAL

    –

    Presenters

    • Akhil Francis

      Lawrence Berkeley National Laboratory

    Authors

    • Akhil Francis

      Lawrence Berkeley National Laboratory

    • Katherine Klymko

      Lawrence Berkeley National Laboratory, NERSC, Lawrence Berkeley National Laboratory

    • Norm M Tubman

      NASA Ames

    • Abhi D Rajagopala

      Lawrence Berkeley National Laboratory

    • Neelay Fruitwala

      Lawrence Berkeley National Lab

    • Akel Hashim

      University of California, Berkeley

    • Yilun Xu

      Lawrence Berkeley National Laboratory

    • Gang Huang

      Lawrence Berkeley National Laboratory

    • Kasra Nowrouzi

      Lawrence Berkeley National Laboratory

    View abstract →

  • Calculating Energies in the Contextual Subspace

    ORAL

    –

    Publication: Alexis Ralli, Tim Weaving, Andrew Tranter, William M. Kirby, Peter J. Love, and Peter V. Coveney, Phys. Rev. Research 5, 013095

    Tim Weaving, Alexis Ralli, William M. Kirby, Andrew Tranter, Peter J. Love, and Peter V. Coveney Journal of Chemical Theory and Computation 2023 19 (3), 808-821

    Presenters

    • Alexis P Ralli

      Tufts University

    Authors

    • Alexis P Ralli

      Tufts University

    • Tim Weaving

      University College London

    • William M Kirby

      IBM

    • Andrew Tranter

      Quantinuum Ltd., Quantinuum

    • Peter V Coveney

      University College London

    • Peter J Love

      Tufts University

    View abstract →