Machine Learning and Closed-Loop Quantum Control
FOCUS · MAR-J36 · ID: 3108563
Presentations
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Machine Learning aiding the Discovery of better Strategies for Quantum Computing
ORAL · Invited
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Publication: Puviani et al, arXiv 2312.07391 (accepted for publication in Physical Review Letters)
Porotti et al, PRX Quantum 4(3) 030305 (2023)
Zen et al, arXiv 2402.17761 (under review in Physical Review X)
Olle et al, npj Quantum Information vol. 10, 126 (2024)
Reuer et al, Nature Communications 14, 7138 (2023)Presenters
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Florian Marquardt
Friedrich-Alexander University Erlangen-Nuremberg
Authors
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Florian Marquardt
Friedrich-Alexander University Erlangen-Nuremberg
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Most likely path approach to optimal control theory
ORAL
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Presenters
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Andrew N Jordan
Chapman University
Authors
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Andrew N Jordan
Chapman University
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Automated calibration of optimal control pulses on a superconducting quantum RAM (QRAM) device
ORAL
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Presenters
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Aaron Trowbridge
Carnegie Mellon University
Authors
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Aaron Trowbridge
Carnegie Mellon University
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Sebastien Leger
Stanford University
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Connie Miao
Stanford University
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Andy J Goldschmidt
University of Chicago
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Aditya Bhardwaj
University of Chicago
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David I Schuster
Stanford University
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Abstract Withdrawn
ORAL Withdrawn
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Abstract Withdrawn
ORAL Withdrawn
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AI-Enabled Molecular State Control using Quantum-Logic Spectroscopy
ORAL
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Publication: A. Pipi, X. Tao, P. Narang, and D.R. Leibrandt (2024). Molecular Quantum Control Algorithm Design by Reinforcement Learning. arXiv preprint arXiv:2410.11839.
Presenters
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Anastasia Pipi
University of California, Los Angeles
Authors
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Anastasia Pipi
University of California, Los Angeles
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Xuecheng Tao
University of California, Los Angeles
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David Leibrandt
University of California, Los Angeles
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Prineha Narang
University of California, Los Angeles
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Reinforcement Learning Meets Quantum Control - Artificially Intelligent Maxwell's Demon
ORAL
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Publication: arXiv:2408.15328v1 [quant-ph]
Presenters
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Robert Czupryniak
University of Rochester
Authors
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Robert Czupryniak
University of Rochester
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Paolo A Erdman
Freie Universität Berlin
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Bibek Bhandari
Chapman University
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Andrew N Jordan
Chapman University
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Jens Eisert
Freie Universität Berlin, FU Berlin
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Frank Noe
Microsoft Corporation
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GIACOMO GUARNIERI
Freie University Berlin, University of Pavia
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Quantum feedback control with a transformer neural network architecture
ORAL
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Presenters
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Pranav Vaidhyanathan
University of Oxford
Authors
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Pranav Vaidhyanathan
University of Oxford
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Mark T Mitchison
Trinity College Dublin
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Natalia Ares
University of Oxford
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Characterization of Model-Based Reinforcement Learning for Dynamical Decoupling
ORAL
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Presenters
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George Witt
University of Maryland College Park
Authors
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George Witt
University of Maryland College Park
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Jner Tzern Oon
University of Maryland College Park
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Connor A Hart
University of Maryland College Park
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Ronald L Walsworth
University of Maryland College Park
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Quantum optimal control using physics-informed neural networks with sinusoidal representations.
ORAL
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Presenters
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Sofiia Lauten
University of Wisconsin - Madison
Authors
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Sofiia Lauten
University of Wisconsin - Madison
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Matthew Otten
University of Wisconsin - Madison
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Gradient-based Quantum Control and Engineering with Adjoint Sensitivity
ORAL
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Presenters
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Kien Le
Stanford University
Authors
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Kien Le
Stanford University
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Jean-Michel Borit
Stanford University
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Rahul Trivedi
Max-Planck Institute for Quantum Optics
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Joonhee Choi
Stanford University
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Jelena Vuckovic
Stanford University
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Gradient evaluation of analytic control for quantum systems with large Hilbert space
ORAL
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Presenters
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Ashutosh Mishra
Forschungszentrum Jülich
Authors
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Ashutosh Mishra
Forschungszentrum Jülich
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Frank K Wilhelm
Forschungszentrum Juelich GmbH, Forschungszentrum Jülich
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Alessandro Ciani
Forschungszentrum Juelich GmbH
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