Machine Learning and Quantum Simulation
FOCUS · A70 · ID: 1067486
Presentations
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Revealing microcanonical phase diagrams of strongly correlated electrons on quantum computers I
ORAL
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Presenters
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Gaurav Gyawali
- Cornell University, Harvard University
Authors
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Gaurav Gyawali
- Cornell University, Harvard University
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Mabrur Ahmed
- Binghamton University
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Eric W Aspling
- Binghamton University
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Luke A Ellert-Beck
- Southern Illinois University Carbondale
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Michael J Lawler
- Binghamton University
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Revealing microcanonical phase diagrams of strongly correlated electrons on quantum computers II
ORAL
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Presenters
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Mabrur Ahmed
- Binghamton University
Authors
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Mabrur Ahmed
- Binghamton University
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Gaurav Gyawali
- Cornell University, Harvard University
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Michael J Lawler
- Binghamton University
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Adaptive randomized measurement: a practical route to achieve scientific discovery from quantum simulations
ORAL
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Presenters
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Wonjun Lee
- Pohang Univ of Sci & Tech
Authors
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Wonjun Lee
- Pohang Univ of Sci & Tech
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Cheong Eung Ahn
- Pohang University of Science and Technology, Center for Artificial Low Dimensional Electronic Systems, Institute for Basic Science
- Pohang University of Science and Technology (POSTECH)
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Hyukjoon Kwon
- Korea Institute for Advanced Study
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Gil Young Cho
- Pohang University of Science and Technology, Asia-Pacific Center for Theoretical Physics, Center for Artificial Low Dimensional Electronic Systems, Institute for Basic Science
- Pohang Univ of Sci & Tech
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Quantum variational learning for quantum error-correcting codes
ORAL
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Publication: Quantum 6, 828 (2022)
Presenters
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Chenfeng Cao
- The Hong Kong University of Science and Technology
Authors
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Chenfeng Cao
- The Hong Kong University of Science and Technology
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Reconstructing Thermal Quantum Quench Dynamics from Pure States
ORAL
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Publication: None
Presenters
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Jason Saroni
- Iowa State University
Authors
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Jason Saroni
- Iowa State University
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Henry S Lamm
- Fermilab
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Peter P Orth
- Iowa State University
- Ames National Laboratory
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Thomas Iadecola
- Iowa State University
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Variational learning algorithms for quantum query complexity
ORAL
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Publication: https://arxiv.org/abs/2205.07449
Presenters
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Zipeng Wu
- The Hong Kong University of Science and
Authors
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Zipeng Wu
- The Hong Kong University of Science and
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Bei Zeng
- The Hong Kong University of Science and
- Hong Kong University of Science and Technology
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ZHANG CHAO
- The Hong Kong University of Science and Technology
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The Quantum Fourier Transform Has Small Entanglement
ORAL
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Publication: https://arxiv.org/abs/2210.08468
Presenters
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Jielun Chen
- Caltech
Authors
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Jielun Chen
- Caltech
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Quantum Boundary Integral Algorithm for linear and nonlinear PDEs in Quantum Computation of Fluid Dynamics
ORAL
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Presenters
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Sachin Satish Bharadwaj
- New York University (NYU)
Authors
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Sachin Satish Bharadwaj
- New York University (NYU)
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Balu Nadiga
- LANL
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Stephan Eidenbenz
- LANL
- Los Alamos National Laboratory
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K. R Sreenivasan
- Department, Courant Institute of Mathema
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Adaptive variational quantum minimally entangled typical thermal states for finite temperature simulations
ORAL
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Presenters
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Yong-Xin Yao
- Ames National Laboratory
Authors
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Yong-Xin Yao
- Ames National Laboratory
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Jo~{a}o Getelina
- Ames National Laboratory
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Niladri Gomes
- Lawrence Berkeley National Laboratory
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Thomas Iadecola
- Iowa State University
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Peter P Orth
- Iowa State University
- Ames National Laboratory
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Using the Variational Quantum Thermalizer as an Impurity Solver
ORAL
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Publication: https://doi.org/10.48550/arXiv.2208.07621
Presenters
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Johannes Selisko
- Robert Bosch GmbH
Authors
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Johannes Selisko
- Robert Bosch GmbH
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Maximilian Amsler
- Robert Bosch GmbH
- Cornell University
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Thomas Hammerschmidt
- Ruhr Universität Bochum
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Ralf Drautz
- Ruhr Universität Bochum
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Thomas Eckl
- Robert Bosch GmbH
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Green's function approach to quantum chemistry on a quantum computer via dynamical self-energy mapping
ORAL
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Presenters
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Christina Daniel
- Georgetown University
Authors
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Christina Daniel
- Georgetown University
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Barbara Jones
- IBM Research
- IBM
- IBM Quantum
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James K Freericks
- Georgetown University
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Koopman operator learning for accelerating quantum optimization and machine learning
ORAL
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Publication: In preparation.
Presenters
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Di Luo
- Massachusetts Institute of Technology
Authors
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Di Luo
- Massachusetts Institute of Technology
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Jiayu Shen
- University of Illinois, Urbana-Champaign
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Rumen Dangovski
- Massachusetts Institute of Technology
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Marin Soljacic
- Massachusetts Institute of Technology
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Neural-network-enabled hybrid classical-quantum computing
ORAL · Invited
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Presenters
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Giuseppe Carleo
- École polytechnique fédérale de Lausanne
- EPFL
Authors
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Giuseppe Carleo
- École polytechnique fédérale de Lausanne
- EPFL
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