Quantum Annealing and Optimization III
ORAL · L34 · ID: 381308
Presentations
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Analytical framework for Quantum Alternating Operator Ansätze
ORAL
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Presenters
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Stuart Hadfield
NASA Ames Research Center, NASA Ames, Quantum Artificial Intelligence Laboratory (QuAIL), NASA Ames Research Center
Authors
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Stuart Hadfield
NASA Ames Research Center, NASA Ames, Quantum Artificial Intelligence Laboratory (QuAIL), NASA Ames Research Center
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Tad Hogg
NASA Ames, Quantum Artificial Intelligence Laboratory (QuAIL), NASA Ames Research Center, NASA Ames Research Center
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Eleanor G Rieffel
NASA Ames Research Center, Quantum AI Lab, NASA Ames Research Center
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Classical symmetries and QAOA
ORAL
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Presenters
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Ruslan Shaydulin
Argonne National Laboratory
Authors
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Ruslan Shaydulin
Argonne National Laboratory
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Stuart Hadfield
NASA Ames Research Center, NASA Ames, Quantum Artificial Intelligence Laboratory (QuAIL), NASA Ames Research Center
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Tad Hogg
NASA Ames, Quantum Artificial Intelligence Laboratory (QuAIL), NASA Ames Research Center, NASA Ames Research Center
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Ilya Safro
University of Delaware
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Empirical performance bounds for quantum approximate optimization
ORAL
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Presenters
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Phillip Charles Lotshaw
Oak Ridge National Laboratory, Quantum Computational Sciences Group, Oak Ridge National Laboratory
Authors
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Phillip Charles Lotshaw
Oak Ridge National Laboratory, Quantum Computational Sciences Group, Oak Ridge National Laboratory
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Travis S Humble
Oak Ridge National Lab, Quantum Computing Institute, Oak Ridge National Laboratory, Oak Ridge National Laboratory, Quantum Computational Sciences Group, Oak Ridge National Laboratory, University of Tennessee
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Rebekah Herrman
University of Tennessee, Department of Industrial and Systems Engineering, University of Tennessee at Knoxville
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James Ostrowski
University of Tennessee, Department of Industrial and Systems Engineering, University of Tennessee at Knoxville
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Quantifying the efficiency of state preparation via quantum variational eigensolvers
ORAL
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Presenters
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Gabriel Matos
University of Leeds
Authors
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Gabriel Matos
University of Leeds
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Sonika Johri
Intel Corporation - Hillsboro, IonQ, Inc., IonQ Inc., IonQ, Intel Labs
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Zlatko Papic
Univ of Leeds, School of Physics and Astronomy, University of Leeds, University of Leeds
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Lyapunov control-inspired protocol for quantum approximate optimization
ORAL
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Presenters
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Alicia Magann
Sandia National Laboratories
Authors
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Alicia Magann
Sandia National Laboratories
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Kenneth Rudinger
Sandia National Laboratories, Quantum Performance Lab, Sandia National Laboratories, Quantum Performance Laboratory, Sandia National Laboratories
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Matthew Grace
Sandia National Laboratories
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Mohan Sarovar
Sandia National Laboratories
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Warm-starting quantum optimization
ORAL
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Presenters
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Daniel Egger
IBM Zurich, IBM Research Zürich, IBM Research - Zurich
Authors
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Daniel Egger
IBM Zurich, IBM Research Zürich, IBM Research - Zurich
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Jakub Marecek
Czech Technical University
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Stefan Woerner
IBM Quantum, IBM Quantum, IBM Research, IBM Quantum, IBM Resarch - Zurich, IBM Research - Zurich
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Constrained Quantum Annealing for Circuit Fault Diagnosis
ORAL
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Presenters
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Hannes Leipold
Univ of Southern California
Authors
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Hannes Leipold
Univ of Southern California
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Federico Maximiliano Spedalieri
Univ of Southern California, Information Sciences institute, University of Southern California
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Towards Quantum Gate-Model Heuristics for Real-World Planning Problems
ORAL
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Presenters
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Tobias Stollenwerk
German Aerospace Center (DLR), Linder Hoehe, 51147 Cologne, Germany, DLR
Authors
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Tobias Stollenwerk
German Aerospace Center (DLR), Linder Hoehe, 51147 Cologne, Germany, DLR
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Stuart Hadfield
USRA Research Institute for Advanced Computer Science (RIACS), Mountain View, CA 94043, USA
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Zhihui Wang
NASA Ames Research Center, USRA Research Institute for Advanced Computer Science (RIACS), Mountain View, CA 94043, USA, Quantum AI Lab, NASA Ames Research Center; USRA
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Impact of Graph Structure for QAOA Performance on MaxCut
ORAL
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Presenters
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Rebekah Herrman
University of Tennessee, Department of Industrial and Systems Engineering, University of Tennessee at Knoxville
Authors
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Rebekah Herrman
University of Tennessee, Department of Industrial and Systems Engineering, University of Tennessee at Knoxville
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Lorna Treffert
University of Tennessee
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James Ostrowski
University of Tennessee, Department of Industrial and Systems Engineering, University of Tennessee at Knoxville
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Phillip Charles Lotshaw
Oak Ridge National Laboratory, Quantum Computational Sciences Group, Oak Ridge National Laboratory
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Travis S Humble
Oak Ridge National Lab, Quantum Computing Institute, Oak Ridge National Laboratory, Oak Ridge National Laboratory, Quantum Computational Sciences Group, Oak Ridge National Laboratory, University of Tennessee
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George Siopsis
University of Tennessee
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Improving the Performance of Quantum Approximate Optimization Algorithm Through an Adaptive, Problem-Tailored Ansatz
ORAL
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Presenters
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Linghua Zhu
Virginia Tech
Authors
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Linghua Zhu
Virginia Tech
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Ho Lun Tang
Virginia Tech
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George S Barron
Virginia Tech, Blacksburg, Virginia Tech, Department of Physics, Virginia Tech
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Fernando. A. Calderon-Vargas
Physics, Virginia Tech, Virginia Tech
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Nicholas J. Mayhall
Virginia Tech, Virginia Tech, Blacksburg
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Edwin Barnes
Virginia Tech, Virginia Tech, Blacksburg, Physics, Virginia Tech
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Sophia Economou
Virginia Tech, Virginia Tech, Blacksburg, Physics, Virginia Tech
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Applying the Quantum Approximate Optimization Algorithm to the Tail Assignment Problem: part 1
ORAL
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Presenters
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Pontus Vikstål
Wallenberg Centre for Quantum Technology, Department of Microtechnology and Nanoscience, Chalmers University of Technology, Chalmers Univ of Tech
Authors
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Pontus Vikstål
Wallenberg Centre for Quantum Technology, Department of Microtechnology and Nanoscience, Chalmers University of Technology, Chalmers Univ of Tech
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Mattias Grönkvist
Jeppesen, Jeppesen Systems AB
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Marika Svensson
Jeppesen Systems AB
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Martin Andersson
Jeppesen, Jeppesen Systems AB
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Göran Johansson
Chalmers Univ of Tech, Wallenberg Centre for Quantum Technology, Department of Microtechnology and Nanoscience, Chalmers University of Technology
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Giulia Ferrini
Chalmers Univ of Tech, Department of Microtechnology and Nanoscience, Chalmers University of Technology, Wallenberg Centre for Quantum Technology, Department of Microtechnology and Nanoscience, Chalmers University of Technology
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Applying the Quantum Approximate Optimization Algorithm to the Tail Assignment Problem: part 2
ORAL
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Presenters
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Marika Svensson
Jeppesen
Authors
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Marika Svensson
Jeppesen
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Martin Andersson
Jeppesen, Jeppesen Systems AB
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Mattias Grönkvist
Jeppesen, Jeppesen Systems AB
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Pontus Vikstål
Wallenberg Centre for Quantum Technology, Department of Microtechnology and Nanoscience, Chalmers University of Technology, Chalmers Univ of Tech
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Devdatt Dubhashi
Department of Computer Science and Engineering, Chalmers University of Technology
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Giulia Ferrini
Chalmers Univ of Tech, Department of Microtechnology and Nanoscience, Chalmers University of Technology, Wallenberg Centre for Quantum Technology, Department of Microtechnology and Nanoscience, Chalmers University of Technology
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Göran Johansson
Chalmers Univ of Tech, Wallenberg Centre for Quantum Technology, Department of Microtechnology and Nanoscience, Chalmers University of Technology
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Low depth mechanisms for quantum optimization
ORAL
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Presenters
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Jarrod McClean
Google Quantum AI
Authors
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Jarrod McClean
Google Quantum AI
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Matthew Harrigan
Google Quantum AI
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Masoud Mohseni
Google AI, Google, Google AI Quantum, Google Quantum AI
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Nicholas Rubin
Google Quantum AI, Google Inc., Google LLC, Google
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Zhang Jiang
Google Inc - Santa Barbara, Google Quantum AI, Google Quantum AI, Mountain View, CA, USA
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Sergio Boixo
Google Quantum AI, Google LLC
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Vadim Smelyanskiy
Google AI Quantum, Google Quantum AI, Google - Venice, CA, Google Inc - Santa Barbara
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Ryan Babbush
Google Quantum AI, Google LLC
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Hartmut Neven
Google AI Quantum, Google Quantum AI, Google LLC, Google - Venice, CA
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Efficient analytic construction of quantum circuits for MaxCut problems
ORAL
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Presenters
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Taichi Kosugi
Quemix Inc., Tokyo Institute of Technology
Authors
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Taichi Kosugi
Quemix Inc., Tokyo Institute of Technology
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Hirofumi Nishi
Tokyo Institute of Technology
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Yu-ichiro Matsushita
Tokyo Institute of Technology
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