Learning and Benchmarking Quantum Channels
FOCUS · MAR-A36 · ID: 3108474
Presentations
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Contracted Quantum Learning of Random Unitary Channels
ORAL
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Presenters
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Alexander M Jürgens
University of California, Los Angeles
Authors
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Alexander M Jürgens
University of California, Los Angeles
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Scott E Smart
University of California, Los Angeles
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Joseph Peetz
University of California, Los Angeles
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Prineha Narang
University of California, Los Angeles
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Optimal Twirling Depth for Classical Shadows in the Presence of Noise and Improved Post-Processing
ORAL
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Publication: ArXiv number: 2311.10137 Published in PRL: 10.1103/PhysRevLett.133.130803
Presenters
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Pierre-Gabriel Rozon
McGill University
Authors
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Pierre-Gabriel Rozon
McGill University
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Kartiek Agarwal
Argonne National Laboratory, Argonne National Laboratory and McGill University
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Ning Bao
Northeastern University, Boston, MA USA and Brookhaven National Laboratory, Upton, NY
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Emilia Vlahos
McGill University
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Tami Pereg-Barnea
McGill University
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Stability of classical shadows under gate-dependent noise
ORAL
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Publication: https://arxiv.org/abs/2310.19947, https://arxiv.org/abs/2405.06022, PRX Quantum 4, 010325, 2023
Presenters
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Ingo Roth
Technology Innovation Institute
Authors
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Ingo Roth
Technology Innovation Institute
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Raphael Brieger
IQM Quantum Computers, IQM
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Martin Kliesch
Hamburg University of Technology (TUHH), TUHH
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Markus Heinrich
Heinrich Heine University Düsseldorf
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QSP-based pulse characterization
ORAL
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Presenters
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Christopher Kang
University of Chicago
Authors
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Christopher Kang
University of Chicago
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Yulong Dong
University of California, Berkeley
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Murphy Yuezhen Niu
University of Maryland College Park, University of California, Santa Barbara
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Refining quantum computing models by removing gauge freedom
ORAL
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Presenters
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Juan Jesus Gonzalez De Mendoza
University of New Mexico
Authors
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Juan Jesus Gonzalez De Mendoza
University of New Mexico
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Corey I Ostrove
Sandia National Laboratories
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Robin J Blume-Kohout
Sandia National Laboratories
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Efficient quantum tomography of a polynomial subspace
ORAL
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Presenters
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Yat Wong
University of Chicago
Authors
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Yat Wong
University of Chicago
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Ming Yuan
University of Chicago
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Kevin He
HRL Laboratories, LLC
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Srivatsan Chakram
Rutgers University, Rutgers, The State University of New Jersey
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Alireza Seif
IBM Corporation
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David I Schuster
Stanford University
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Liang Jiang
University of Chicago
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Qudit unitary designs with applications to randomized benchmarking
ORAL
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Presenters
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Namit Anand
NASA Ames Research Center
Authors
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Namit Anand
NASA Ames Research Center
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Jeffrey Marshall
NASA Ames Research Center
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Jason Saied
NASA Ames Research Center
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Eleanor G Rieffel
NASA Ames Research Center
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Andrea Morello
University of New South Wales
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Oral: The Stabilized Analytic Continuation and the Randomized Measurement Toolbox
ORAL
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Presenters
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Ayush Raj
Purdue University
Authors
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Ayush Raj
Purdue University
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Akash Vijay
University of Illinois at Urbana-Champaign
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Jonah Kudler-Flam
Institute for Advanced Study, Princeton
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Andreas Elben
PSI Center for Scientific Computing, Theory and Data, Paul Scherrer Institute
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Benoit Vermersch
Univ. Grenoble Alpes, CNRS, LPMMC
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Laimei Nie
Purdue University
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Paths Towards Quantum Noise Spectroscopy via Randomized Benchmarking
ORAL
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Presenters
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Rocio Gonzalez Meza
Johns Hopkins University
Authors
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Rocio Gonzalez Meza
Johns Hopkins University
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Yasuo Oda
University of Maryland Baltimore County
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Gregory Quiroz
Johns Hopkins University Applied Physics Laboratory
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Interplay between non-Markovian noise and finite-duration gates in randomized benchmarking experiments
ORAL
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Presenters
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Antoine Brillant
University of Chicago
Authors
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Antoine Brillant
University of Chicago
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Peter Groszkowski
Oak Ridge National Laboratory
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Alireza Seif
IBM Corporation
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Jens Koch
Northwestern University
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Aashish A Clerk
University of Chicago
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Quantum non-Markovian noise effects in randomized benchmarking
ORAL
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Publication: Quantum non-Markovian noise effects in randomized benchmarking (in preparation)
Presenters
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Srilekha Gandhari
University of Maryland College Park
Authors
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Srilekha Gandhari
University of Maryland College Park
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Michael J Gullans
National Institute of Standards and Technology (NIST), Joint Center for Quantum Information and Computer Science, NIST/University of Maryland, College Park
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High-fidelity fully randomized benchmarking and testing for time-dependent errors
ORAL
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Publication: https://arxiv.org/abs/2312.15836
Presenters
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Alex Kwiatkowski
University of Colorado, Boulder, National Institute of Standards and Technology, Boulder
Authors
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Alex Kwiatkowski
University of Colorado, Boulder, National Institute of Standards and Technology, Boulder
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Laurent J Stephenson
National Institute of Standards and Technology Boulder
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Hannah M Knaack
University of Colorado, Boulder
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Christina M Bowers
University of Colorado, Boulder
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Dietrich Liebfried
National Institute of Standards and Technology
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Daniel H Slichter
National Institute of Standards and Technology Boulder
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Scott Glancy
National Institute of Standards and Technology Boulder
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Emanuel Knill
National Institute of Standards and Technology Boulder
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Efficient self-consistent learning of gate set Pauli noise
ORAL · Invited
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Publication: arXiv: 2410.03906
Presenters
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Senrui Chen
University of Chicago
Authors
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Senrui Chen
University of Chicago
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Zhihan Zhang
Tsinghua University
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Liang Jiang
University of Chicago
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Steven T Flammia
Virginia Tech
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