Characterizing Noise with QCVV Techniques
FOCUS · B50 · ID: 2155038
Presentations
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Detecting Non-Markovian Errors in Superconducting Qubit Operations Using Partial Tomography
ORAL
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Presenters
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Martijn F Zwanenburg
- Delft University of Technology
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology
Authors
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Martijn F Zwanenburg
- Delft University of Technology
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology
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Taryn V Stefanski
- Delft University of Technology
- Quantum Engineering Centre for Doctorial Training, University of Bristol and QuTech and Kavli Institute of Nanoscience, Delft University of Technology
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Figen Yilmaz
- Delft University of Technology
- QU Tech
- Delft University of Technology (TU Delft)
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology
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Siddharth Singh
- Delft University of Technology
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology
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Eugene Y Huang
- Delft University of Technology
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology
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Lukas Johannes Splitthoff
- Delft University of Technology
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology
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Christian Kraglund Andersen
- Delft University of Technology
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology
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Scalable, Accurate, and Honest Approximation of Correlated-Qubit Noise
ORAL
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Presenters
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Fnu Setiawan
- Riverlane Research Inc.
- Riverlane Research Inc
Authors
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Fnu Setiawan
- Riverlane Research Inc.
- Riverlane Research Inc
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Alexander Gramolin
- Riverlane Research Inc.
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Elisha Siddiqui Matekole
- Riverlane
- Riverlane Research Inc.
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Hari Krovi
- Riverlane Research Inc.
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Jacob M Taylor
- Joint Quantum Institute and Joint Center for Quantum Information and Computer Science, University of Maryland/NIST
- Riverlane Research Inc., and Joint Center for Quantum Information and Computer Science, University of Maryland-NIST
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Modeling the effects of 1/f noise on QCVV experiments
ORAL
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Presenters
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Kevin Young
- Sandia National Laboratories
Authors
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Kevin Young
- Sandia National Laboratories
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Learning the capabilities of quantum computers using physics-informed neural networks
ORAL
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Presenters
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Timothy J Proctor
- Sandia National Laboratories
Authors
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Timothy J Proctor
- Sandia National Laboratories
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Daniel Hothem
- Sandia National Laboratories
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Kenneth M Rudinger
- Sandia National Laboratories
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Unified Quantum State Tomography and Hamiltonian Learning: A Language-Translation-Like Approach for Quantum Systems
ORAL
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Publication: arXiv:2304.12010
Presenters
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Zheng An
- Department of Physics, HKUST
Authors
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Zheng An
- Department of Physics, HKUST
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Jiahui Wu
- Department of Physics, HKUST
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Muchun Yang
- Institute of Physics, Chinese Academy of Sciences
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Duanlu Zhou
- Institute of Physics, Chinese Academy of Sciences
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Bei Zeng
- The Hong Kong University of Science and
- The Hong Kong University of Science and Technology (HKUST)
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Measuring circuit errors in context for surface code circuits
ORAL
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Presenters
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Dripto M Debroy
- Google Quantum AI
Authors
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Dripto M Debroy
- Google Quantum AI
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Jonathan A Gross
- Google LLC
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Elie Genois
- Universite de Sherbrooke
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Zhang Jiang
- Google LLC
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Enabling efficient characterization of measurement noise with measurement randomized compiling
ORAL · Invited
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Publication: Stefanie J. Beale and Joel J. Wallman. Randomized compiling for subsystem measure- ments. arXiv, 2304.06599, 2023.
Presenters
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Stefanie J Beale
- University of Waterloo
Authors
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Stefanie J Beale
- University of Waterloo
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Modeling Logical Qubit Performance in the Presence of Physical Crosstalk Noise
ORAL
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Presenters
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Stefan K Seritan
- Sandia National Laboratories
Authors
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Stefan K Seritan
- Sandia National Laboratories
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Kenneth M Rudinger
- Sandia National Laboratories
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Emergent Non-Markovian Dynamics in Logical Qubit Systems
ORAL
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Presenters
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Jalan A Ziyad
- University of New Mexico
Authors
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Jalan A Ziyad
- University of New Mexico
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Robin J Blume-Kohout
- Sandia National Laboratories
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Tzvetan S Metodi
- Sandia National Laboratories
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Kenneth M Rudinger
- Sandia National Laboratories
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Improving the fidelity of flux-based gates in superconducting processors through model learning of qubit and control stack parameters.
ORAL
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Presenters
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Shinibali Bhattacharyya
- Qruise GmbH
Authors
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Shinibali Bhattacharyya
- Qruise GmbH
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William Steadman
- Qruise GmbH
- Qruise
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Yousof Mardoukhi
- Qruise GmbH
- Qruise
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Marc Bernot
- Qruise GmbH
- Qruise
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André Melo
- Qruise GmbH
- Qruise
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Anurag Saha Roy
- Qruise GmbH
- Qruise
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Shai Machnes
- Qruise GmbH
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Nir Halay
- Quantum Machines
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Akiva Feintuch
- Quantum Machines
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Lior Ella
- Quantum Machines
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Yonatan Cohen
- Quantum Machines
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Deep Learning based adaptive characterisation of QPUs
ORAL
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Presenters
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Anurag Saha Roy
- Qruise GmbH
Authors
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Anurag Saha Roy
- Qruise GmbH
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Shai Machnes
- Qruise GmbH
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André Melo
- Qruise GmbH
- Qruise
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William Steadman
- Qruise GmbH
- Qruise
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Estimating fidelity by propagating errors through quantum circuits
ORAL
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Presenters
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Ashe N Miller
- Sandia National Laboratories
Authors
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Ashe N Miller
- Sandia National Laboratories
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Kevin Young
- Sandia National Laboratories
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Timothy J Proctor
- Sandia National Laboratories
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Linear-quadratic regulation of drift in quantum processor
ORAL
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Presenters
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John P Marceaux
- UC Berkeley
Authors
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John P Marceaux
- UC Berkeley
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Kevin Young
- Sandia National Laboratories
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