Bryan O'Gorman

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 20

Top Topics

Bayesian Network Structure Learning

Quantum Computing

Scheduling Problem

Parameterized Complexity

Top Venues

AAAI Workshop: Planning for Hybrid Systems

Publications

Srinivasan Arunachalam, Sergey Bravyi, Chinmay Nirkhe, Bryan O'Gorman
The Parameterized Complexity of Quantum Verification. CoRR (2022)
Bryan O'Gorman
Fermionic tomography and learning. CoRR (2022)
Srinivasan Arunachalam, Sergey Bravyi, Chinmay Nirkhe, Bryan O'Gorman
The Parametrized Complexity of Quantum Verification. TQC (2022)
Bryan O'Gorman, Sandy Irani, James Whitfield, Bill Fefferman
Electronic Structure in a Fixed Basis is QMA-complete. CoRR (2021)
Kyle E. C. Booth, Bryan O'Gorman, Jeffrey Marshall, Stuart Hadfield, Eleanor Gilbert Rieffel
Quantum-accelerated constraint programming. CoRR (2021)
Kyle E. C. Booth, Bryan O'Gorman, Jeffrey Marshall, Stuart Hadfield, Eleanor Gilbert Rieffel
Quantum-accelerated constraint programming. Quantum 5 (2021)
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)
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) (2020)
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 (2020)
Kyle E. C. Booth, Bryan O'Gorman, Jeffrey Marshall, Stuart Hadfield, Eleanor Gilbert Rieffel
Quantum-Accelerated Global Constraint Filtering. CP (2020)
Bryan O'Gorman
Parameterization of tensor network contraction. CoRR (2019)
Bryan O'Gorman
Parameterization of Tensor Network Contraction. TQC (2019)
Bryan O'Gorman, William J. Huggins, Eleanor Gilbert Rieffel, K. Birgitta Whaley
Generalized swap networks for near-term quantum computing. CoRR (2019)
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) (2019)
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 (2017)
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)
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 (2017)
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)
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)
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) (2016)
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) (2015)
Bryan O'Gorman, Alejandro Perdomo-Ortiz, Ryan Babbush, Alán Aspuru-Guzik, Vadim Smelyanskiy
Bayesian Network Structure Learning Using Quantum Annealing. CoRR (2014)