NISQ: Algorithms
ORAL · B09 · ID: 353585
Presentations
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Noise-resilient quantum algorithm design for adiabatic quantum computers
ORAL
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Presenters
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Jian Lin
- Department of Physics, Fudan University
Authors
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Jian Lin
- Department of Physics, Fudan University
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Xiaopeng Li
- Department of Physics, Fudan University
- Fudan Univ
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Preserving symmetries in NISQ algorithms
ORAL
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Presenters
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Michael Streif
- Quantum AI Lab, USRA; NASA Ames Research Center
- Quantum AI Lab, USRA and NASA Ames
Authors
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Michael Streif
- Quantum AI Lab, USRA; NASA Ames Research Center
- Quantum AI Lab, USRA and NASA Ames
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Eleanor Rieffel
- Quantum AI Lab, NASA Ames Research Center
- QuAIL, NASA Ames Research Center
- NASA Ames Research Center, Quantum AI Lab (QuAIL)
- NASA Ames Research Center
- QuAIL, NASA
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Zhihui Wang
- Quantum AI Lab, USRA; NASA Ames Research Center
- NASA Quantum Artificial Intelligence Laboratory (QuAIL) - USRA Research Institute for Advanced Computer Science (RIACS)
- Quantum AI Lab, USRA and NASA Ames
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Using Grover's search algorithm to test a three-level quantum system
ORAL
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Presenters
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Vasily Geyko
- Lawrence Livermore National Laboratory
- Lawrence Livermore Natl Lab
Authors
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Vasily Geyko
- Lawrence Livermore National Laboratory
- Lawrence Livermore Natl Lab
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Alessandro Castelli
- Lawrence Livermore Natl Lab
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Ilon Joseph
- Lawrence Livermore Natl Lab
- Lawrence Livermore National Laboratory
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Yuan Shi
- Lawrence Livermore Natl Lab
- Lawrence Livermore National Laboratory
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Frank R Graziani
- Lawrence Livermore Natl Lab
- Lawrence Livermore National Laboratory
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Stephen Bernard Libby
- Lawrence Livermore Natl Lab
- Lawrence Livermore National Laboratory
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Jeffrey Parker
- Lawrence Livermore National Laboratory
- Lawrence Livermore Natl Lab
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Yaniv J Rosen
- Lawrence Livermore Natl Lab
- Lawrence Livermore National Laboratory
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Jonathan L DuBois
- Lawrence Livermore Natl Lab
- Lawrence Livermore National Laboratory
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Utilizing NISQ devices for evaluating quantum algorithms
ORAL
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Presenters
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Eleanor Rieffel
- Quantum AI Lab, NASA Ames Research Center
- QuAIL, NASA Ames Research Center
- NASA Ames Research Center, Quantum AI Lab (QuAIL)
- NASA Ames Research Center
- QuAIL, NASA
Authors
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Eleanor Rieffel
- Quantum AI Lab, NASA Ames Research Center
- QuAIL, NASA Ames Research Center
- NASA Ames Research Center, Quantum AI Lab (QuAIL)
- NASA Ames Research Center
- QuAIL, NASA
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What we’ve learned from NISQ application experiments on Sycamore
ORAL
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Presenters
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Ryan Babbush
- Google Inc.
Authors
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Ryan Babbush
- Google Inc.
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Sequential minimal optimization for quantum-classical hybrid algorithms
ORAL
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Presenters
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Ken M. Nakanishi
- Graduate School of Science, The University of Tokyo
Authors
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Ken M. Nakanishi
- Graduate School of Science, The University of Tokyo
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Keisuke Fujii
- Graduate School of Engineering Science, Osaka University
- Department of Systems Innovation, Graduate School of Engineering Science, Osaka University
- Osaka University
- Osaka Univ
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Synge Todo
- Graduate School of Science, The University of Tokyo
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Systematically Improving Quantum Approximate Optimization Algorithm with an Adaptive Ansatz
ORAL
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Presenters
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Sophia E. Economou
- Virginia Tech
- Department of Physics, Virginia Tech
- Physics, Virginia Tech
Authors
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Sophia E. Economou
- Virginia Tech
- Department of Physics, Virginia Tech
- Physics, Virginia Tech
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Linghua Zhu
- Virginia Tech
- Department of Physics, Virginia Tech
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Ho Lun Tang
- Virginia Tech
- Department of Physics, Virginia Tech
- Physics, Virginia Tech
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George S. Barron
- Department of Physics, Virginia Tech
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Edwin Barnes
- Virginia Tech
- Department of Physics, Virginia Tech
- Physics, Virginia Tech
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Nicholas J. Mayhall
- Department of Chemistry, Virginia Tech
- Chemistry, Virginia Tech
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Bounds on classical simulation of simple quantum models from quantum supremacy.
ORAL
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Presenters
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Peter Love
- Tufts University
- Tufts Univ
Authors
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Peter Love
- Tufts University
- Tufts Univ
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Maximum weighted independent set and quantum alternating operator ansatz
ORAL
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Presenters
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zain Saleem
- Argonne Natl Lab
Authors
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zain Saleem
- Argonne Natl Lab
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Multi-block ADMM Heuristics for Mixed-Binary Optimization on Classical and Quantum Computers
ORAL
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Presenters
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Claudio Gambella
- IBM Research Ireland
Authors
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Claudio Gambella
- IBM Research Ireland
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Andrea Simonetto
- IBM Research Ireland
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Learning unitaries via gradient descent optimization
ORAL
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Presenters
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Reevu Maity
- Physics, University of Oxford
Authors
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Bobak Kiani
- Mechanical Engineering, Massachusetts Institute of Technology
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Reevu Maity
- Physics, University of Oxford
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Seth Lloyd
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology MIT
- MIT
- Mechanical Engineering, Massachusetts Institute of Technology
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Practical demonstration of quantum approximate optimization on Google’s superconducting qubit processor
ORAL
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Presenters
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Matthew Harrigan
- Google Inc.
Authors
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Matthew Harrigan
- Google Inc.
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Running large quantum circuits on small quantum computers
ORAL
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Presenters
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Thomas Ayral
- Atos Quantum Lab
Authors
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François-Marie Le Régent
- CPHT, École Polytechnique
- Atos Quantum Lab, Argonne National Lab
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Thomas Ayral
- Atos Quantum Lab
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Zain Hamid Saleem
- Argonne National Laboratory
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Yuri Alexeev
- Argonne Natl Lab
- Argonne National Laboratory
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Martin Suchara
- Argonne National Laboratory
- Argonne Natl Lab
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Reverse engineering a pairwise entanglement witness for a near-term N-qubit computer
ORAL
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Presenters
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Nathan Thompson
- Wichita State Univ
Authors
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Nathan Thompson
- Wichita State Univ
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Nam Nguyen
- Wichita State Univ
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Elizabeth Behrman
- Wichita State Univ
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James Steck
- Wichita State Univ
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