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Bryan O'Gorman
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2020 – today
- 2022
- [c7]Srinivasan Arunachalam, Sergey Bravyi, Chinmay Nirkhe, Bryan O'Gorman:
The Parametrized Complexity of Quantum Verification. TQC 2022: 3:1-3:18 - [i9]Srinivasan Arunachalam, Sergey Bravyi, Chinmay Nirkhe, Bryan O'Gorman:
The Parameterized Complexity of Quantum Verification. CoRR abs/2202.08119 (2022) - [i8]Bryan O'Gorman:
Fermionic tomography and learning. CoRR abs/2207.14787 (2022) - 2021
- [b1]Bryan O'Gorman:
Quantum Simulation: Upper and Lower Bounds. University of California, Berkeley, USA, 2021 - [j6]Kyle E. C. Booth, Bryan O'Gorman, Jeffrey Marshall, Stuart Hadfield, Eleanor Gilbert Rieffel:
Quantum-accelerated constraint programming. Quantum 5: 550 (2021) - [i7]Kyle E. C. Booth, Bryan O'Gorman, Jeffrey Marshall, Stuart Hadfield, Eleanor Gilbert Rieffel:
Quantum-accelerated constraint programming. CoRR abs/2103.04502 (2021) - [i6]Bryan O'Gorman, Sandy Irani, James Whitfield, Bill Fefferman:
Electronic Structure in a Fixed Basis is QMA-complete. CoRR abs/2103.08215 (2021) - 2020
- [j5]Tobias Stollenwerk, Bryan O'Gorman, Davide Venturelli, Salvatore Mandrà, Olga Rodionova, Hokkwan Ng, Banavar Sridhar, Eleanor Gilbert Rieffel, Rupak Biswas:
Quantum Annealing Applied to De-Conflicting Optimal Trajectories for Air Traffic Management. IEEE Trans. Intell. Transp. Syst. 21(1): 285-297 (2020) - [c6]Kyle E. C. Booth, Bryan O'Gorman, Jeffrey Marshall, Stuart Hadfield, Eleanor Gilbert Rieffel:
Quantum-Accelerated Global Constraint Filtering. CP 2020: 72-89 - [c5]Minh Do, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, Eleanor Gilbert Rieffel, Jeremy Frank:
Planning for Compilation of a Quantum Algorithm for Graph Coloring. ECAI 2020: 2338-2345 - [i5]Minh Do, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, Eleanor Gilbert Rieffel, Jeremy Frank:
Planning for Compilation of a Quantum Algorithm for Graph Coloring. CoRR abs/2002.10917 (2020)
2010 – 2019
- 2019
- [j4]Stuart Hadfield, Zhihui Wang, Bryan O'Gorman, Eleanor Gilbert Rieffel, Davide Venturelli, Rupak Biswas:
From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz. Algorithms 12(2): 34 (2019) - [c4]Bryan O'Gorman:
Parameterization of Tensor Network Contraction. TQC 2019: 10:1-10:19 - [i4]Bryan O'Gorman, William J. Huggins, Eleanor Gilbert Rieffel, K. Birgitta Whaley:
Generalized swap networks for near-term quantum computing. CoRR abs/1905.05118 (2019) - [i3]Bryan O'Gorman:
Parameterization of tensor network contraction. CoRR abs/1906.00013 (2019) - 2017
- [j3]Rupak Biswas, Zhang Jiang, Kostya Kechezhi, Sergey Knysh, Salvatore Mandrà, Bryan O'Gorman, Alejandro Perdomo-Ortiz, Andre Petukhov, John Realpe-Gomez, Eleanor Gilbert Rieffel, Davide Venturelli, Fedir Vasko, Zhihui Wang:
A NASA perspective on quantum computing: Opportunities and challenges. Parallel Comput. 64: 81-98 (2017) - [c3]Zhihui Wang, Bryan O'Gorman, Tony T. Tran, Eleanor Gilbert Rieffel, Jeremy Frank, Minh Do:
An Investigation of Phase Transitions in Single-Machine Scheduling Problems. ICAPS 2017: 325-329 - [i2]Tobias Stollenwerk, Bryan O'Gorman, Davide Venturelli, Salvatore Mandrà, Olga Rodionova, Hokkwan Ng, Banavar Sridhar, Eleanor Gilbert Rieffel, Rupak Biswas:
Quantum Annealing Applied to De-Conflicting Optimal Trajectories for Air Traffic Management. CoRR abs/1711.04889 (2017) - 2016
- [j2]Bryan O'Gorman, Eleanor Gilbert Rieffel, Minh Do, Davide Venturelli, Jeremy Frank:
Comparing planning problem compilation approaches for quantum annealing. Knowl. Eng. Rev. 31(5): 465-474 (2016) - [c2]Tony T. Tran, Zhihui Wang, Minh Do, Eleanor Gilbert Rieffel, Jeremy Frank, Bryan O'Gorman, Davide Venturelli, J. Christopher Beck:
Explorations of Quantum-Classical Approaches to Scheduling a Mars Lander Activity Problem. AAAI Workshop: Planning for Hybrid Systems 2016 - [c1]Tony T. Tran, Minh Do, Eleanor Gilbert Rieffel, Jeremy Frank, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, J. Christopher Beck:
A Hybrid Quantum-Classical Approach to Solving Scheduling Problems. SOCS 2016: 98-106 - 2015
- [j1]Eleanor Gilbert Rieffel, Davide Venturelli, Bryan O'Gorman, Minh Do, Elicia M. Prystay, Vadim Smelyanskiy:
A case study in programming a quantum annealer for hard operational planning problems. Quantum Inf. Process. 14(1): 1-36 (2015) - 2014
- [i1]Bryan O'Gorman, Alejandro Perdomo-Ortiz, Ryan Babbush, Alán Aspuru-Guzik, Vadim Smelyanskiy:
Bayesian Network Structure Learning Using Quantum Annealing. CoRR abs/1407.3897 (2014)
Coauthor Index
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