Quantum Machine Learning I

FOCUS · A17 · ID: 353456

Presentations

  • Variational Quantum Unsampling on an Photonic Quantum Processor

    ORAL

    –

    Presenters

    • Jacques Carolan

      Research Laboratory of Electronics, Massachusetts Institute of Technology, Massachusetts Institute of Technology MIT

    Authors

    • Jacques Carolan

      Research Laboratory of Electronics, Massachusetts Institute of Technology, Massachusetts Institute of Technology MIT

    • Masoud Mohseni

      Google AI, Google Inc., Google Inc, Google Research, Google Quantum AI Laboratory

    • Jonathan P Olson

      Zapata Computing Inc.

    • Mihika Prabhu

      Massachusetts Institute of Technology MIT

    • Changchen Chen

      Massachusetts Institute of Technology MIT

    • Darius Bunandar

      Research Laboratory of Electronics, Massachusetts Institute of Technology, Massachusetts Institute of Technology MIT

    • Murphy Yuezhen Niu

      Google, Google Quantum AI Laboratory

    • Nicholas C Harris

      Lightmatter

    • Franco N. C. Wong

      Massachusetts Institute of Technology MIT

    • Michael Hochberg

      Elenion Technologies

    • Seth Lloyd

      Massachusetts Institute of Technology, Massachusetts Institute of Technology MIT, MIT, Mechanical Engineering, Massachusetts Institute of Technology

    • Dirk R. Englund

      Massachusetts Institute of Technology, Massachusetts Institute of Technology MIT, Electrical Engineering and Computer Science, Massachusetts Institute of Technology MIT, Research Laboratory of Electronics, Massachusetts Institute of Technology

    View abstract →

  • Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm

    ORAL

    –

    Presenters

    • Guillaume Verdon

      Quantum, X - The Moonshot Factory

    Authors

    • Guillaume Verdon

      Quantum, X - The Moonshot Factory

    • Jacob Marks

      Physics Department, Stanford University, Quantum, X - The Moonshot Factory

    • Sasha Nanda

      Quantum, X - The Moonshot Factory

    • Stefan Leichenauer

      Quantum, X - The Moonshot Factory

    • Jack Hidary

      Quantum, X - The Moonshot Factory

    View abstract →

  • Variational Fast Forwarding for Quantum Simulation Beyond the Coherence Time

    ORAL

    –

    Presenters

    • Andrew Sornborger

      Los Alamos National Laboratory

    Authors

    • Andrew Sornborger

      Los Alamos National Laboratory

    • Cristina Cirstoiu

      Computer Science, Oxford University

    • Zoe Holmes

      Controlled Quantum Dynamics Theory Group, Imperial College

    • Joseph Iosue

      QC Ware

    • Lukasz Cincio

      Los Alamos National Laboratory

    • Patrick Coles

      Los Alamos National Laboratory, New Mexico, Los Alamos National Laboratory

    View abstract →

  • Stochastic Gradient Descent for Hybrid Quantum-Classical Optimization

    ORAL

    –

    Presenters

    • Frederik Wilde

      Freie Universität Berlin

    Authors

    • Frederik Wilde

      Freie Universität Berlin

    • Ryan Sweke

      Freie Universität Berlin

    • Johannes Jakob Meyer

      Freie Universität Berlin

    • Maria Schuld

      University of KwaZulu-Natal

    • Paul K. Fährmann

      Freie Universität Berlin

    • Barthélémy Meynard-Piganeau

      Ecole Polytechnique

    • Jens Eisert

      Dahlem Center for Complex Quantum Systems, Free University of Berlin, Freie Universität Berlin

    View abstract →

  • Robust and efficient algorithms for high-dimensional black-box quantum optimization

    ORAL

    –

    Presenters

    • Zhaoqi Leng

      Physics, Princeton University, Princeton University

    Authors

    • Zhaoqi Leng

      Physics, Princeton University, Princeton University

    • Pranav Mundada

      Princeton University, Department of Electrical Engineering, Princeton University, Electrical Engineering, Princeton University

    • Saeed Ghadimi

      Operations Research and Financial Engineering, Princeton University

    • Andrew Houck

      Princeton University, Electrical Engineering, Princeton University, Department of Electrical Engineering, Princeton University

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  • Quantum classifier with tailored quantum kernel

    ORAL

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    Presenters

    • Kyungdeock Park

      Korea Advanced Institute of Science and Technology, KAIST

    Authors

    • Kyungdeock Park

      Korea Advanced Institute of Science and Technology, KAIST

    • Carsten Blank

      Data Cybernetics

    • June-Koo(KEVIN) RHEE

      Korea Advanced Institute of Science and Technology, KAIST

    • Francesco Petruccione

      Univ of KwaZulu-Natal, University of KwaZulu-Natal

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  • Machine learning with solid-state NMR using quantum kernel

    ORAL

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    Presenters

    • Takeru Kusumoto

      Osaka Univ

    Authors

    • Takeru Kusumoto

      Osaka Univ

    • Kosuke Mitarai

      Osaka University, Graduate School of Engineering Science, Osaka University, Osaka Univ

    • Makoto Negoro

      Quantum Information and Quantum Biology Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka Univ, Osaka Univ

    • Keisuke Fujii

      Graduate School of Engineering Science, Osaka University, Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, Osaka University, Osaka Univ

    • Masahiro Kitagawa

      Graduate school of Engineering Science, Osaka Univ, Osaka Univ

    View abstract →

  • Hybrid quantum-classical algorithms for generative models

    ORAL

    –

    Presenters

    • Teng Bian

      Department of Physics, Department of Chemistry, and the Birck Nanotechnology Center, Purdue Univ

    Authors

    • Teng Bian

      Department of Physics, Department of Chemistry, and the Birck Nanotechnology Center, Purdue Univ

    • Sabre Kais

      Department of Chemistry, Department of Physics and Astronomy, and Birck Nanotechnology Center, Purdue University, Purdue Univ, Department of Chemistry and Physics, Purdue Univ, Department of Physics, Department of Chemistry, and the Birck Nanotechnology Center, Purdue Univ

    View abstract →

  • Quantum-tailored machine-learning architectures

    ORAL

    –

    Presenters

    • Elie Genois

      Institut quantique and Département de Physique, Universite de Sherbrooke

    Authors

    • Elie Genois

      Institut quantique and Département de Physique, Universite de Sherbrooke

    • Agustin Di Paolo

      Institut quantique and Departement de Physique, Universite de Sherbrooke, Universite de Sherbrooke, Département de Physique, Université de Sherbrooke, Institut quantique & Département de Physique, Université de Sherbrooke, Institut Quantique and Departement de Physique, Universite de Sherbrooke, Sherbrooke, Canada, Institut quantique and Département de Physique, Universite de Sherbrooke

    • Alexandre Blais

      Universite de Sherbrooke, Institut quantique and Departement de Physique, Universite de Sherbrooke, Institut Quantique, Universite de Sherbrooke, Département de Physique, Université de Sherbrooke, Institut quantique & Département de Physique, Université de Sherbrooke, Institut Quantique and Departement de Physique, Universite de Sherbrooke, Sherbrooke, Canada, Institut quantique and Département de Physique, Universite de Sherbrooke

    • Jonathan Gross

      Institut Quantique, Universite de Sherbrooke, Institut quantique and Département de Physique, Universite de Sherbrooke

    View abstract →