Quantum Control in the Presence of Noise and Decoherence

Presentations

• Deep reinforcement learning for quantum Hamiltonian engineering

  ORAL

  March 17, 2021, 3:00 PM – March 17, 2021, 3:12 PM

  Presenters

  • Pai Peng

    • MIT
    • Massachusetts Institute of Technology MIT

  Authors

  • Pai Peng

    • MIT
    • Massachusetts Institute of Technology MIT

  • Xiaoyang Huang

    • MIT
    • Massachusetts Institute of Technology MIT

  • Chao Yin

    • Massachusetts Institute of Technology MIT

  • Chandrasekhar Ramanathan

    • Dartmouth College
    • Physics and Astronomy, Dartmouth College

  • Paola Cappellaro

    • Massachusetts Institute of Technology MIT
    • MIT

  View abstract →

• Reinforcement Learning-based control of a cavity system with non linear measurement

  ORAL

  March 17, 2021, 3:12 PM – March 17, 2021, 3:24 PM

  Presenters

  • Riccardo Porotti

    • Max Planck Institute for the Science of Light

  Authors

  • Riccardo Porotti

    • Max Planck Institute for the Science of Light

  • Florian Marquardt

    • Univ Erlangen Nuremberg
    • Max Planck Inst for Sci Light
    • Max Planck Institute for the Science of Light

  • Antoine Essig

    • Université Lyon, ENS de Lyon, Université Claude Bernard, CNRS, Laboratoire de Physique,F-69342 Lyon, France
    • Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique,F-69342 Lyon,France

  • Audrey Bienfait

    • University of Chicago
    • Université Lyon, ENS de Lyon, Université Claude Bernard, CNRS, Laboratoire de Physique,F-69342 Lyon, France
    • ENS de Lyon
    • Ecole Normale Superieure de Lyon
    • Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique,F-69342 Lyon, France
    • Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique,F-69342 Lyon,France

  • Benjamin Huard

    • Université Lyon, ENS de Lyon, Université Claude Bernard, CNRS, Laboratoire de Physique,F-69342 Lyon, France
    • ENS de Lyon
    • ENS Lyon
    • Ecole Normale Superieure de Lyon
    • Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique,F-69342 Lyon, France
    • Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique,F-69342 Lyon,France

  View abstract →

• Classical Reinforcement Learning for Experimental Quantum Error Correction

  ORAL

  March 17, 2021, 3:24 PM – March 17, 2021, 3:36 PM

  Presenters

  • Volodymyr Sivak

    • Applied Physics Department, Yale University
    • Yale University
    • Department of Applied Physics and Physics, Yale University

  Authors

  • Volodymyr Sivak

    • Applied Physics Department, Yale University
    • Yale University
    • Department of Applied Physics and Physics, Yale University

  • Henry Liu

    • Yale University

  • Alec Eickbusch

    • Yale University
    • Department of Applied Physics and Physics, Yale University

  • Baptiste Royer

    • Physics, Yale University
    • Yale University

  • Ioannis Tsioutsios

    • Yale University

  • Michel Devoret

    • Yale University
    • Applied Physics Department, Yale University
    • Yale
    • Department of Applied Physics and Physics, Yale University
    • Applied Physics, Yale University
    • Departments of Applied Physics and Physics, Yale University

  View abstract →

• Experimental Evaluation of Active Learning of a Two Qubit Cross-Resonance Hamiltonian

  ORAL

  March 17, 2021, 3:36 PM – March 17, 2021, 3:48 PM

  Presenters

  • Arkopal Dutt

    • Massachusetts Institute of Technology MIT

  Authors

  • Arkopal Dutt

    • Massachusetts Institute of Technology MIT

  • Edwin Pednault

    • IBM T.J. Watson Research Center

  • Chai Wu

    • IBM T.J. Watson Research Center

  • Sarah Sheldon

    • IBM T.J. Watson Research Center
    • IBM Quantum, IBM Research Almaden
    • IBM Quantum
    • IBM Research - Almaden

  • John Smolin

    • IBM T.J. Watson Research Center

  • Lev S Bishop

    • IBM T.J. Watson Research Center
    • IBM TJ Watson Research Center

  • Isaac Chuang

    • Physics, MIT
    • Center for Ultracold Atoms, Research Laboratory of Electronics, Department of Physics, Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MIT
    • MIT

  View abstract →

• Continuous measurements with feedback can improve single-photon probability

  ORAL

  March 17, 2021, 3:48 PM – March 17, 2021, 4:00 PM

  Presenters

  • Anirudh Lanka

    • Univ of Southern California

  Authors

  • Anirudh Lanka

    • Univ of Southern California

  • Todd Brun

    • Univ of Southern California

  View abstract →

• Optimal Quantum Control of Time-Correlated Semiclassical Control Noise

  ORAL

  March 17, 2021, 4:00 PM – March 17, 2021, 4:12 PM

  Presenters

  • Colin Trout

    • Johns Hopkins University Applied Physics Lab
    • Johns Hopkins University Applied Physics Laboratory

  Authors

  • Colin Trout

    • Johns Hopkins University Applied Physics Lab
    • Johns Hopkins University Applied Physics Laboratory

  • Kevin Schultz

    • Johns Hopkins University Applied Physics Lab
    • Applied Phys Lab/JHU
    • Johns Hopkins University Applied Physics Laboratory

  • Greg Quiroz

    • Johns Hopkins University Applied Physics Lab
    • Johns Hopkins University Applied Physics Laboratory

  • Robert Barr

    • Johns Hopkins University Applied Physics Lab

  • David Clader

    • Johns Hopkins University Applied Physics Lab
    • Johns Hopkins University Applied Physics Laboratory
    • Applied Phys Lab/JHU

  View abstract →

• Using spectator qubit to Optimally mitigating qubit decoherence

  ORAL

  March 17, 2021, 4:12 PM – March 17, 2021, 4:24 PM

  Presenters

  • Behnam Tonekaboni

    • Griffith Univ

  Authors

  • Hongting Song

    • China Academy of Space Technology

  • Behnam Tonekaboni

    • Griffith Univ

  • Areeya Chantasri

    • Department of Physics, Mahidol University
    • Mahidol University

  • Howard Wiseman

    • Centre for Quantum Dynamics, Griffith University
    • Griffith Univ

  View abstract →

• Integration of spectator qubits into quantum computing architectures for adaptive hardware tune-up and noise characterization

  Invited

  March 17, 2021, 4:24 PM – March 17, 2021, 5:00 PM

  Presenters

  • Riddhi Swaroop Gupta

    • IBM Research - Australia

  Authors

  • Riddhi Swaroop Gupta

    • IBM Research - Australia

  • Alistair R Milne

    • The University of Sydney

  • Claire L Edmunds

    • The University of Sydney

  • Cornelius Hempel

    • The University of Sydney

  • Luke Govia

    • Raytheon BBN Technologies
    • BBN Technology - Massachusetts
    • BBN Technologies

  • Michael Biercuk

    • Q-CTRL
    • The University of Sydney

  View abstract →

• Calibration of the Cross-Resonance Gate using Closed-Loop Optimal Control

  ORAL

  March 17, 2021, 5:00 PM – March 17, 2021, 5:12 PM

  Presenters

  • Brad Mitchell

    • University of California, Berkeley
    • Univ of California – Berkeley
    • University of California - Berkeley

  Authors

  • Brad Mitchell

    • University of California, Berkeley
    • Univ of California – Berkeley
    • University of California - Berkeley

  • Ravi K. Naik

    • University of California, Berkeley
    • Univ of California – Berkeley
    • Physics, University of California, Berkeley
    • University of California Berkeley
    • Univ of California - Berkeley
    • Quantum Nanoelectronics Laboratory, Dept. of Physics, University of California, Berkeley
    • University of California - Berkeley

  • Alexis Morvan

    • University of California, Berkeley
    • Lawrence Berkeley National Laboratory
    • Laboratoire de Physique des Solides, CNRS - Université Paris Saclay

  • Akel Hashim

    • Univ of California – Berkeley
    • University of California, Berkeley
    • Quantum Nanoelectronics Lab, UC Berkeley
    • University of California - Berkeley

  • John Mark Kreikebaum

    • Lawrence Berkeley National Laboratory
    • University of California, Berkeley
    • Univ of California – Berkeley
    • Physics, University of California, Berkeley

  • David Ivan Santiago

    • Lawrence Berkeley National Laboratory
    • University of California, Berkeley
    • Lawrence Berkely National Laboratory
    • Quantum Nanoelectronics Laboratory, Dept. of Physics, University of California, Berkeley

  • Irfan Siddiqi

    • Lawrence Berkeley National Laboratory
    • University of California, Berkeley
    • Univ of California - Berkeley
    • Univ of California – Berkeley
    • Quantum Nanoelectronics Lab, UC Berkeley
    • Physics, University of California, Berkeley
    • Quantum Nanoelectronics Laboratory, Dept. of Physics, University of California, Berkeley

  View abstract →

• Contextual Characterization of the Cross-Resonance Gate on a Multi-Qubit Superconducting Quantum Processor

  ORAL

  March 17, 2021, 5:12 PM – March 17, 2021, 5:24 PM

  Presenters

  • Ravi K. Naik

    • University of California, Berkeley
    • Univ of California – Berkeley
    • Physics, University of California, Berkeley
    • University of California Berkeley
    • Univ of California - Berkeley
    • Quantum Nanoelectronics Laboratory, Dept. of Physics, University of California, Berkeley
    • University of California - Berkeley

  Authors

  • Ravi K. Naik

    • University of California, Berkeley
    • Univ of California – Berkeley
    • Physics, University of California, Berkeley
    • University of California Berkeley
    • Univ of California - Berkeley
    • Quantum Nanoelectronics Laboratory, Dept. of Physics, University of California, Berkeley
    • University of California - Berkeley

  • Brad Mitchell

    • University of California, Berkeley
    • Univ of California – Berkeley
    • University of California - Berkeley

  • Akel Hashim

    • Univ of California – Berkeley
    • University of California, Berkeley
    • Quantum Nanoelectronics Lab, UC Berkeley
    • University of California - Berkeley

  • John Mark Kreikebaum

    • Lawrence Berkeley National Laboratory
    • University of California, Berkeley
    • Univ of California – Berkeley
    • Physics, University of California, Berkeley

  • David Ivan Santiago

    • Lawrence Berkeley National Laboratory
    • University of California, Berkeley
    • Lawrence Berkely National Laboratory
    • Quantum Nanoelectronics Laboratory, Dept. of Physics, University of California, Berkeley

  • Irfan Siddiqi

    • Lawrence Berkeley National Laboratory
    • University of California, Berkeley
    • Univ of California - Berkeley
    • Univ of California – Berkeley
    • Quantum Nanoelectronics Lab, UC Berkeley
    • Physics, University of California, Berkeley
    • Quantum Nanoelectronics Laboratory, Dept. of Physics, University of California, Berkeley

  View abstract →

• Quantum optimal control for high-fidelity arbitrary quantum logic on a superconducting qudit

  ORAL

  March 17, 2021, 5:24 PM – March 17, 2021, 5:36 PM

  Presenters

  • Jonathan L DuBois

    • Lawrence Livermore Natl Lab
    • Physical and Life Sciences, Lawrence Livermore National Laboratory

  Authors

  • Xian Wu

    • Lawrence Livermore Natl Lab

  • Spencer Tomarken

    • Lawrence Livermore Natl Lab
    • Physics, Massachusetts Institute of Technology

  • N. Anders Petersson

    • Lawrence Livermore Natl Lab

  • Luis A. Martinez

    • Lawrence Livermore Natl Lab

  • Yaniv J Rosen

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory
    • Physical and Life Sciences, Lawrence Livermore National Laboratory

  • Kyle A Wendt

    • Lawrence Livermore Natl Lab

  • Konstantinos Kravvaris

    • Lawrence Livermore Natl Lab

  • Sofia Quaglioni

    • Lawrence Livermore Natl Lab

  • Jonathan L DuBois

    • Lawrence Livermore Natl Lab
    • Physical and Life Sciences, Lawrence Livermore National Laboratory

  View abstract →

• Reinforcement learning for error-robust control on cloud-based superconducting hardware [Part I]

  ORAL

  March 17, 2021, 5:36 PM – March 17, 2021, 5:48 PM

  Presenters

  • Yuval Baum

    • Q-CTRL

  Authors

  • Yuval Baum

    • Q-CTRL

  • Sean Howell

    • Q-CTRL

  • Maggie Liuzzi

    • Q-CTRL

  • Pranav Mundada

    • Princeton University
    • Q-CTRL
    • Department of Electrical Engineering, Princeton University

  • Mirko Amico

    • Q-CTRL

  • Michael Hush

    • Q-CTRL

  • Michael Biercuk

    • Q-CTRL
    • The University of Sydney

  View abstract →

• Reinforcement learning for error-robust control on cloud-based superconducting hardware [Part II]

  ORAL

  March 17, 2021, 5:48 PM – March 17, 2021, 6:00 PM

  Presenters

  • Mirko Amico

    • Q-CTRL

  Authors

  • Mirko Amico

    • Q-CTRL

  • Yuval Baum

    • Q-CTRL

  • Sean Howell

    • Q-CTRL

  • Michael Hush

    • Q-CTRL

  • Maggie Liuzzi

    • Q-CTRL

  • Pranav Mundada

    • Princeton University
    • Q-CTRL
    • Department of Electrical Engineering, Princeton University

  • Michael Biercuk

    • Q-CTRL
    • The University of Sydney

  View abstract →