Noise Reduction and Error Mitigation in Quantum Computing IV
ORAL · Z36 · ID: 46686
Presentations
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Error Filtration for Quantum Computation
ORAL
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Presenters
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Gideon Lee
- University of Chicago
Authors
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Gideon Lee
- University of Chicago
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Connor T Hann
- Yale University
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Shruti Puri
- Yale University
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Steven M Girvin
- Yale University
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Liang Jiang
- University of Chicago
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Noise reduction in quantum simulations of scalar QED via qudit encodings
ORAL
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Publication: In preparation: Noise Improvements in Quantum Simulations of sQED using Qutrits
Presenters
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Erik Gustafson
- Fermilab
- University of Iowa
Authors
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Erik Gustafson
- Fermilab
- University of Iowa
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Neural Error Mitigation of Near-Term Quantum Simulations
ORAL
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Publication: https://arxiv.org/abs/2105.08086, under review at Nature Machine Intelligence
Presenters
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Elizabeth R Bennewitz
- University of Maryland College Park
- University of Maryland
Authors
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Florian Hopfmueller
- 1QBit
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Elizabeth R Bennewitz
- University of Maryland College Park
- University of Maryland
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Bohdan Kulchytskyy
- 1QBit
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Juan Carrasquilla
- Vector Institute for Artificial Intelligence
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Pooya Ronagh
- University of Waterloo
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Error-mitigation techniques for quantum simulations of spin defects on quantum computers
ORAL
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Publication: Benchen Huang, Marco Govoni, Giulia Galli, "Simulation of Spin Defects on Quantum Computers with Error Mitigation." in preparation.
Presenters
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Benchen Huang
- University of Chicago
Authors
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Benchen Huang
- University of Chicago
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Marco Govoni
- Argonne National Laboratory
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Giulia Galli
- University of Chicago
- University of Chicago and Argonne National Laboratory
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Demonstrating the effectiveness of error mitigation protocols based on efficient noise reconstruction
ORAL
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Presenters
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Samuele Ferracin
- University of Waterloo
Authors
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Samuele Ferracin
- University of Waterloo
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Akel Hashim
- University of California, Berkeley
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Jean-Loup Ville
- University of California, Berkeley
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Ravi K Naik
- University of California, Berkeley
- Lawrence Berkeley National Laboratory
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Arnaud Carignan-Dugas
- Keysight Technologies Canada, Kanata, ON K2K 2W5, Canada
- Keysight
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Hammam Quassim
- Keysight Technologies Canada, Kanata, ON K2K 2W5, Canada
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Alexis Morvan
- Lawrence Berkeley National Laboratory
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Joel Wallman
- Keysight Technologies Canada, Kanata, ON K2K 2W5, Canada
- University of Waterloo
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Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
ORAL
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Publication: arXiv preprint: "Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?" (2021)
https://arxiv.org/abs/2109.01051Presenters
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Samson Wang
- Imperial College London
Authors
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Samson Wang
- Imperial College London
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Piotr J Czarnik
- Los Alamos National Laboratory
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Andrew T Arrasmith
- Los Alamos National Laboratory
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Marco Cerezo
- Los Alamos National Laboratory
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Lukasz Cincio
- Los Alamos National Laboratory
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Patrick J Coles
- Los Alamos National Laboratory
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Error mitigation in variational quantum eigensolvers using probabilistic machine learning
ORAL
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Presenters
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Nicola Lanata
- Aarhus University
Authors
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John Rogers
- Texas A&M University
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Gargee Bhattacharyya
- Aarhus University
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Marius Frank
- Aarhus University
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Ove Christiansen
- Aarhus University
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Yongxin Yao
- Ames Lab
- Ames Laboratory, U.S. Department of Energy, Ames, Iowa 50011, USA
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Nicola Lanata
- Aarhus University
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Reference-state Error Mitigation: A Chemistry Inspired Strategy for Improving Molecular Energy Evaluations on NISQ Devices
ORAL
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Presenters
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Phalgun Lolur
- a. Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden
- Chalmers University of Technology, SE-41296 Gothenburg, Sweden
Authors
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Phalgun Lolur
- a. Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden
- Chalmers University of Technology, SE-41296 Gothenburg, Sweden
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Mårten Skogh
- a.Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden b.Data Science & Modelling, Pharmaceutical Science, R&D, AstraZeneca
- Data Science & Modelling, Pharmaceutical Science, R&D, AstraZeneca, Gothenburg, Sweden
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Martin Rahm
- a. Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden
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Framework of Generalized Quantum Subspace Expansion Method
ORAL
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Publication: N. Yoshioka, H. Hakoshima, Y. Matsuzaki, Y. Tokunaga, Y. Suzuki, S. Endo, "Generalized Quantum Subspace Expansion", arXiv:2107.02611.
Presenters
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Nobuyuki Yoshioka
- University of Tokyo
Authors
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Nobuyuki Yoshioka
- University of Tokyo
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Hideaki Hakoshima
- Osaka University
- Center for Quantum Information and Quantum Biology, Osaka University
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Yuichiro Matsuzaki
- AIST
- Research Center for Emerging Computing Technologies, National institute of Advanced Industrial Science and Technology (AIST)
- National Institute of Advanced Industrial Science and Technology
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Yuuki Tokunaga
- NTT Corporation
- NTT Computer and Data Science Laboratories, NTT Corporation
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Suzuki Yasunari
- NTT Corporation
- CD Lab, NTT Corporation
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Suguru Endo
- NTT Corporation
- NTT Computer and Data Science Laboratories, NTT Corporation
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Fundamental limits of quantum error mitigation
ORAL
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Publication: Takagi, Ryuji, Suguru Endo, Shintaro Minagawa, and Mile Gu. "Fundamental limitations of quantum error mitigation." arXiv:2109.04457 (2021).
Presenters
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Ryuji Takagi
- Nanyang Technological University
Authors
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Mile Gu
- Nanyang Technological University
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Ryuji Takagi
- Nanyang Technological University
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Suguru Endo
- NTT Corporation
- NTT Computer and Data Science Laboratories, NTT Corporation
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Shintaro Minagawa
- Nagoya University
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Bipartite Control of Coherent Noise Using Quantum Approximate Optimization Algorithm
ORAL
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Presenters
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Zhibo Yang
- University of California, Berkeley
Authors
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Zhibo Yang
- University of California, Berkeley
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Birgitta Whaley
- University of California, Berkeley
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Improving the resilience of quantum denoising process
ORAL
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Publication: J. Pazem, M. H. Ansari, "Quantum state denoising on elongated autoencoders", To be published.
Presenters
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Joséphine Pazem
- IQI, RWTH Aachen University and PGI, Forschungszentrum Jülich, Germany
Authors
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Joséphine Pazem
- IQI, RWTH Aachen University and PGI, Forschungszentrum Jülich, Germany
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Mohammad H Ansari
- PGI, Forschungszentrum Jülich and IQI, RWTH Aachen University, Germany
- Forschungszentrum Jülich GmbH
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Deep Neural Networks for High-fidelity Measurement of Multiqubit Circuits.
ORAL
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Presenters
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Linipun Phuttitarn
- University of Wisconsin - Madison
Authors
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Linipun Phuttitarn
- University of Wisconsin - Madison
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Robert McDermott
- University of Wisconsin - Madison
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Chuan-Hong Liu
- University of Wisconsin Madison
- University of Wisconsin- Madison
- University of Wisconsin - Madison
- University of Wisconsin-Madison
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Kangwook Lee
- University of Wisconsin Madison
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Liang Shang
- University of Wisconsin Madison
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Daewon Seo
- University of Wisconsin Madison
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