Hardware and Machine Learning for Fast Control
FOCUS · F71 · ID: 1067492
Presentations
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Optimal quantum control for transmons with Reinforcement Learning
ORAL
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Presenters
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Emily Wright
- University of Victoria
Authors
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Emily Wright
- University of Victoria
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Rogério de Sousa
- University of Victoria
- Department of Physics and Astronomy, Centre for Advanced Materials and Related Technology, University of Victoria, Victoria, British Columbia V8W 2Y2, Canada
- Dept. of Physics and Astronomy, and Centre for Advanced Materials and Related Technology, University of Victoria, British Columbia, Canada
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Realizing a deep reinforcement learning agent discovering real-time feedback control strategies for a quantum system
ORAL
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Presenters
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Jonas Landgraf
- Max Planck Institute for the Science of Light
Authors
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Jonas Landgraf
- Max Planck Institute for the Science of Light
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Kevin Reuer
- ETH Zurich
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Thomas Foesel
- Max Planck Institute for the Science of Light
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James O'Sullivan
- ETH Zurich
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Liberto Beltrán
- ETH Zurich
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Abdulkadir Akin
- ETH Zurich
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Graham J Norris
- ETH Zurich
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Ants Remn
- ETH Zurich
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Michael Kerschbaum
- ETH Zurich
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Jean-Claude Besse
- ETH Zurich
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Florian Marquardt
- Max Planck Institute for the Science of Light
- Friedrich-Alexander University Erlangen-
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Andreas Wallraff
- ETH Zurich
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Christopher Eichler
- ETH Zurich
- ETH
- ETH Zurich, FAU Erlangen-Nürnberg
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Data-Driven Qubit Characterization and Optimal Control using Deep Learning
ORAL
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Presenters
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Paul Surrey
- II. Physikalisches Institut, RWTH Aachen
Authors
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Paul Surrey
- II. Physikalisches Institut, RWTH Aachen
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Julian Teske
- RWTH Aachen University
- JARA-FIT Institute for Quantum Information, Forschungszentrum Jülich GmbH and RWTH Aachen University, 52074 Aachen, Germany
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Tobias Hangleiter
- JARA-FIT Institute for Quantum Information, Forschungszentrum Jülich GmbH and RWTH Aachen University, 52074 Aachen, Germany
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Pascal Cerfontaine
- JARA-FIT Institute for Quantum Information, Forschungszentrum Jülich GmbH and RWTH Aachen University, 52074 Aachen, Germany
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Hendrik Bluhm
- RWTH Aachen University
- RWTH Aachen
- JARA-FIT Institute for Quantum Information, Forschungszentrum Jülich GmbH and RWTH Aachen University, 52074 Aachen, Germany
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Combining machine-learning characterization and quantum optimal control to improve superconducting qubit operations
ORAL
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Presenters
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Elie Genois
- Universite de Sherbrooke
Authors
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Elie Genois
- Universite de Sherbrooke
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Noah J Stevenson
- University of California, Berkeley
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Gerwin Koolstra
- University of California, Berkeley
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Irfan Siddiqi
- University of California, Berkeley
- Lawrence Berkeley National Laboratory
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Alexandre Blais
- Universite de Sherbrooke
- Université de Sherbrooke
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Recommender System Expedited Quantum Control Optimization
ORAL
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Publication: arXiv:2201.12550
Presenters
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Priya Batra
- IISER Pune
Authors
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Priya Batra
- IISER Pune
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Neural network accelerator for universal quantum control
ORAL
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Presenters
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A. Baris Ozguler
- Fermilab
Authors
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A. Baris Ozguler
- Fermilab
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Giuseppe Di Guglielmo
- Fermilab
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Manuel Blanco Valentín
- Northwestern University
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David Xu
- Columbia University
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Nhan V Tran
- Fermilab
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Gabriel N Perdue
- Fermilab
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Luca Carloni
- Columbia University
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Farah Fahim
- Fermilab
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Control, gates, and error correction of GKP codes in bosonic cQED
ORAL · Invited
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Publication: [1] Gottesman, Kitaev, Preskill, PRA 2001; [2] Campagne-Ibarcq, Eickbusch, Touzard et al. Nature 2020 ; [3] Flühmann et al. Nature 2019 ; [4] de Neeve et al. Nature Physics 2022; [5] Eickbusch et al. Nature Physics 2022; [6] Sivak et al. in preparation 2022.
Presenters
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Alec W Eickbusch
- Yale University
Authors
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Alec W Eickbusch
- Yale University
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Andy Z Ding
- Yale University
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Benjamin L Brock
- Yale University
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Volodymyr Sivak
- Yale University
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Shraddha Singh
- Yale University
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Baptiste Royer
- Yale University
- Université de Sherbrooke
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Suhas S Ganjam
- Yale University
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Salvatore S Elder
- Yale University
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Shantanu Jha
- Yale University
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Jayameenakshi Venkatraman
- Yale University
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Stijn J de Graaf
- Yale University
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Benjamin J Chapman
- Yale University
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Ioannis Tsioutsios
- Yale University
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Alessandro Miano
- Yale University
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Luigi Frunzio
- Yale University
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Shruti Puri
- Yale University
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Steven M Girvin
- Yale University
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Robert J Schoelkopf
- Yale University
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Michel H Devoret
- Yale University
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FPGA-based signal generation and readout of SNSPD signals for quantum communication
ORAL
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Presenters
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Christina Wang
- Caltech
Authors
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Christina Wang
- Caltech
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Real-time Fast Feedback Experiment enabled by a Customized FPGA-Based Control System
ORAL
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Publication: A. Butko et al., "Understanding Quantum Control Processor Capabilities and Limitations through Circuit Characterization," 2020 International Conference on Rebooting Computing (ICRC), 2020, pp. 66-75, doi: 10.1109/ICRC2020.2020.00011.
Presenters
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Anastasiia Butko
- Lawrence Berkeley National Laboratory
Authors
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Anastasiia Butko
- Lawrence Berkeley National Laboratory
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Yilun Xu
- Lawrence Berkeley National Laboratory
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Gang Huang
- Lawrence Berkeley National Laboratory
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Ravi K Naik
- Lawrence Berkeley National Laboratory
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David I Santiago
- Lawrence Berkeley National Laboratory
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Irfan Siddiqi
- University of California, Berkeley
- Lawrence Berkeley National Laboratory
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QubiC update, the flexible full stack quantum bit control system
ORAL
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Presenters
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Gang Huang
- Lawrence Berkeley National Laboratory
Authors
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Gang Huang
- Lawrence Berkeley National Laboratory
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Yilun Xu
- Lawrence Berkeley National Laboratory
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Neelay Fruitwala
- Lawrence Berkeley National Lab
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Ravi K Naik
- Lawrence Berkeley National Laboratory
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Kasra Nowrouzi
- Lawrence Berkeley National Laboratory
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David I Santiago
- Lawrence Berkeley National Laboratory
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Irfan Siddiqi
- University of California, Berkeley
- Lawrence Berkeley National Laboratory
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Distributed Processor for FPGA-based Superconducting Qubit Control Using QubiC
ORAL
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Presenters
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Neelay Fruitwala
- Lawrence Berkeley National Lab
Authors
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Neelay Fruitwala
- Lawrence Berkeley National Lab
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Gang Huang
- Lawrence Berkeley National Laboratory
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Yilun Xu
- Lawrence Berkeley National Laboratory
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Ravi K Naik
- Lawrence Berkeley National Laboratory
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Kasra Nowrouzi
- Lawrence Berkeley National Laboratory
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David I Santiago
- Lawrence Berkeley National Laboratory
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Irfan Siddiqi
- University of California, Berkeley
- Lawrence Berkeley National Laboratory
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Driving a two-qubit gate between transmons using digitally reconfigurable cryogenic CMOS control electronics.
ORAL
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Presenters
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Joseph A Glick
- IBM Quantum
Authors
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Joseph A Glick
- IBM Quantum
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Devin L Underwood
- IBM TJ Watson Research Center
- IBM Quantum
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Ken Inoue
- IBM Quantum
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Sudipto Chakraborty
- IBM Quantum
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David Frank
- IBM Quantum
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Kevin Tien
- IBM Quantum
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Pat Rosno
- IBM Quantum
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Mark Yeck
- IBM Quantum
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Raphael Robertazzi
- IBM Quantum
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John Timmerwilke
- IBM Quantum
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Chris W Baks
- IBM Quantum
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Donald S Bethune
- IBM Quantum
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Thomas Fox
- IBM Quantum
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Vincent Diluoffo
- IBM Quantum
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Scott Lekuch
- IBM Quantum
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John F Bulzachelli
- IBM Quantum
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Daniel Ramierez
- IBM Quantum
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Rajiv V Joshi
- IBM Quantum
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Brian Gaucher
- IBM Quantum
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Daniel J Friedman
- IBM Quantum
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Control of a 2-qubit superconducting quantum processor unit-cell using a cryogenic CMOS integrated circuit
ORAL
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Publication: [1] Arute et al, Nature 574.7779 (2019): 505-510.
Presenters
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Juhwan Yoo
- Google LLC
Authors
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Juhwan Yoo
- Google LLC
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Jimmy Chen
- Google LLC
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Frank C Arute
- Google LLC
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Shirin Montazeri
- Google LLC
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Marco Szalay
- Google LLC
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Catherine M Erickson
- Google LLC
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Evan Jeffrey
- Google LLC
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Reza Fatemi
- Google LLC
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Marissa Giustina
- Google LLC
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Markus Ansmann
- Google LLC
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Erik Lucero
- Google LLC
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Julian Kelly
- Google AI Quantum
- Google LLC
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Joseph Bardin
- Google LLC
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