Noise Learning and Non-Markovianity
ORAL · MAR-F07 · ID: MAR-F07
Presentations
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Learning noisy mid-circuit measurement as an instrument: SPAM-robust identification and benchmarking of RESET protocols
Oral-In-person
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Presenters
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Andy (Chia-Tung) Chu
- University of Chicago
Authors
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Andy (Chia-Tung) Chu
- University of Chicago
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Senrui Chen
- University of Chicago
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Han Zheng
- University of Chicago
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Su-un Lee
- University of Chicago
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Argyris Manes
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Alireza Seif
- IBM Corporation
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Bibek Pokharel
- IBM Thomas J. Watson Research Center
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Liang Jiang
- University of Chicago
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Compressive unitary learning with non-Markovian interactions
Oral-In-person
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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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Anantha Rao
- University of Maryland College Park
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Michael Gullans
- National Institute of Standards and Technology (NIST)
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Measuring Leakage Rates using Randomized Benchmarking
Oral-In-person
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Presenters
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Shawn Geller
- National Institute of Standards and Technology, Boulder
Authors
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Shawn Geller
- National Institute of Standards and Technology, Boulder
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Tongyu Zhao
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Alexander Kwiatkowski
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Scott Glancy
- National Institute of Standards and Technology Boulder
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Ray Simmonds
- National Institute of Standards and Technology Boulder
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Emanuel Knill
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Data-Driven Learning of Non-Markovian Quantum Dynamics
Oral-In-person
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Presenters
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Samuel Goodwin
- University of New Mexico
Authors
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Samuel Goodwin
- University of New Mexico
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Brian McFarland
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Manuel Munoz-Arias
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Edward Tortorici
- Sandia National Laboratories
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Melissa Revelle
- Sandia National Laboratories
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Christopher Yale
- Sandia National Laboratories
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Daniel Lobser
- Sandia National Laboratories
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Susan Clark
- Sandia National Laboratories
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Mohan Sarovar
- Sandia National Laboratories
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Graybox Modeling and Control of Multiqubit Spatiotemporally Correlated Noise
Oral-In-person
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Presenters
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Abhiram Nallamalli
- Johns Hopkins Applied Physics Laboratory
Authors
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Abhiram Nallamalli
- Johns Hopkins Applied Physics Laboratory
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Shantanu Misra
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Mayra Amezcua
- Johns Hopkins University Applied Physics Laboratory
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Gregory Quiroz
- Johns Hopkins Applied Physics Laboratory
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Model Based Tomography: Learning System Hamiltonians Through Gate Errors
Oral-In-person
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Presenters
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Gavin Rockwood
- University of Wisconsin - Madison
Authors
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Gavin Rockwood
- University of Wisconsin - Madison
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Jisoo Yu
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Matthew Otten
- University of Wisconsin - Madison
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Directly estimating the fidelity of measurement-based quantum computation
Oral-In-person
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Presenters
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David Stephen
- Quantinuum
Authors
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David Stephen
- Quantinuum
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Michael Foss-Feig
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Tomographic characterization of leakage in superconducting quantum gates
Oral-In-person
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Presenters
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Nathan Miller
- MIT Lincoln Laboratory
Authors
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Nathan Miller
- MIT Lincoln Laboratory
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Katrina Sliwa
- MIT Lincoln Laboratory
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Riley Murray
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Luke Burkhart
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Gabriel Samach
- MIT Lincoln Laboratory
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Corey Ostrove
- Sandia National Laboratories
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Kenneth Rudinger
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Tristan Brown
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Piper Wysocki
- Sandia National Laboratories
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Madeline Morocco
- MIT Lincoln Laboratory
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David Danza
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Rabindra Das
- Massachusetts Institute of Technology MIT
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Jeffrey Gertler
- MIT Lincoln Laboratory
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Michael Gingras
- MIT Lincoln Laboratory
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Michael Hellstrom
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David Kim
- MIT Lincoln Lab
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Bethany Niedzielski Huffman
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Meghan Schuldt
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Hannah Stickler
- MIT Lincoln Laboratory
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Donna-Ruth Yost
- Massachusetts Institute of Technology
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Kyle Serniak
- MIT Lincoln Laboratory
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Steven Weber
- MIT Lincoln Laboratory
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Robin Blume-Kohout
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Mollie Schwartz
- MIT Lincoln Laboratory
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Tomographic characterization of leakage in superconducting quantum gates, Part 2
Oral-In-person
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Presenters
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Katrina Sliwa
- MIT Lincoln Laboratory
Authors
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Katrina Sliwa
- MIT Lincoln Laboratory
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Nathan Miller
- MIT Lincoln Laboratory
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Riley Murray
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Luke Burkhart
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Gabriel Samach
- MIT Lincoln Laboratory
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Corey Ostrove
- Sandia National Laboratories
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Kenneth Rudinger
- Sandia National Laboratories
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Tristan Brown
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Piper Wysocki
- Sandia National Laboratories
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Madeline Morocco
- MIT Lincoln Laboratory
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David Danza
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Rabindra Das
- Massachusetts Institute of Technology MIT
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Jeffrey Gertler
- MIT Lincoln Laboratory
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Michael Gingras
- MIT Lincoln Laboratory
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Michael Hellstrom
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David Kim
- MIT Lincoln Lab
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Bethany Huffman
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Meghan Schuldt
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Hannah Stickler
- MIT Lincoln Laboratory
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Donna-Ruth Yost
- Massachusetts Institute of Technology
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Kyle Serniak
- MIT Lincoln Laboratory
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Steven Weber
- MIT Lincoln Laboratory
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Robin Blume-Kohout
- Sandia National Laboratories
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Mollie Schwartz
- MIT Lincoln Laboratory
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Quantifying State Transitions in Superconducting Qubit Mid-Circuit Measurements Using Quantum Instrument Linear Gate Set Tomography
Oral-In-person
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Presenters
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Madeline Morocco
- MIT Lincoln Laboratory
Authors
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Madeline Morocco
- MIT Lincoln Laboratory
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Piper Wysocki
- Sandia National Laboratories
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Nathan Miller
- MIT Lincoln Laboratory
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Corey Ostrove
- Sandia National Laboratories
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Riley Murray
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Tristan Brown
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Jeffrey Gertler
- MIT Lincoln Laboratory
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David Kim
- MIT Lincoln Lab
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Bethany Niedzielski Huffman
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Katrina Sliwa
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Kyle Serniak
- MIT Lincoln Laboratory
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Steven Weber
- MIT Lincoln Laboratory
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Robin Blume-Kohout
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Luke Burkhart
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Gabriel Samach
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Kenneth Rudinger
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Mollie Schwartz
- MIT Lincoln Laboratory
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Separate and efficient characterization of SPAM errors in the presence of leakage
Oral-In-person
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Publication: [1] Muhammad Qasim Khan, Leigh M. Norris, and Lorenza Viola, arXiv:2509.19448
Presenters
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Leigh Norris
- Quantinuum
Authors
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Leigh Norris
- Quantinuum
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Muhammad Khan
- Dartmouth College
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Victor Colussi
- Quantinuum
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Lorenza Viola
- Dartmouth College
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Suppression of non-Markovian noise by randomized compiling
Oral-In-person
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Publication: [1] A. Brillant, P. Groszkowski, A. Seif, J. Koch, and A. A. Clerk, Randomized benchmarking with non-markovian noise and realistic finite-time gates, Phys. Rev. Lett. 135, 070601 (2025)
Presenters
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Antoine Brillant
- University of Chicago
Authors
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Antoine Brillant
- University of Chicago
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Rohan Rajmohan
- Northwestern University
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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 Clerk
- University of Chicago
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Learning Hamiltonians from ergodic quantum dynamics in analog quantum simulators
Oral-In-person
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Presenters
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Elizabeth Bennewitz
- University of Maryland College Park
Authors
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Elizabeth Bennewitz
- University of Maryland College Park
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Bryce Kobrin
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Trond Andersen
- Google LLC
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Nikita Astrakhantsev
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Thomas Schuster
- Caltech
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Tom Westerhout
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Max McGinley
- University of Cambridge
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Weijie Wu
- Harvard University
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Tom O'Brien
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Easy twirling gates provide more accurate fidelity estimation
Oral-In-person
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Presenters
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Debankan Sannamoth
- University of Waterloo
Authors
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Debankan Sannamoth
- University of Waterloo
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Kristine Boone
- University of Waterloo
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Arnaud Carignan-Dugas
- Keysight Technologies
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Akel Hashim
- University of California, Berkeley
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Karl Mayer
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Joseph Emerson
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