Bryan O'Gorman

According to our database, Bryan O'Gorman authored at least 18 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Fermionic tomography and learning.

Bryan O'Gorman

CoRR, 2022

The Parameterized Complexity of Quantum Verification.

Srinivasan Arunachalam, Sergey Bravyi, Chinmay Nirkhe, Bryan O'Gorman

CoRR, 2022

The Parametrized Complexity of Quantum Verification.

Srinivasan Arunachalam, Sergey Bravyi, Chinmay Nirkhe, Bryan O'Gorman

Proceedings of the 17th Conference on the Theory of Quantum Computation, 2022

2021

Quantum-accelerated constraint programming.

Kyle E. C. Booth, Bryan O'Gorman, Jeffrey Marshall, Stuart Hadfield, Eleanor Gilbert Rieffel

Quantum, 2021

Electronic Structure in a Fixed Basis is QMA-complete.

Bryan O'Gorman, Sandy Irani, James Whitfield, Bill Fefferman

CoRR, 2021

2020

Quantum Annealing Applied to De-Conflicting Optimal Trajectories for Air Traffic Management.

Tobias Stollenwerk, Bryan O'Gorman, Davide Venturelli, Salvatore Mandrà, Olga Rodionova, Hokkwan Ng, Banavar Sridhar, Eleanor Gilbert Rieffel, Rupak Biswas

IEEE Trans. Intell. Transp. Syst., 2020

Planning for Compilation of a Quantum Algorithm for Graph Coloring.

Minh Do, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, Eleanor Gilbert Rieffel, Jeremy Frank

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Quantum-Accelerated Global Constraint Filtering.

Kyle E. C. Booth, Bryan O'Gorman, Jeffrey Marshall, Stuart Hadfield, Eleanor Gilbert Rieffel

Proceedings of the Principles and Practice of Constraint Programming, 2020

2019

Generalized swap networks for near-term quantum computing.

Bryan O'Gorman, William J. Huggins, Eleanor Gilbert Rieffel, K. Birgitta Whaley

CoRR, 2019

From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz.

Stuart Hadfield, Zhihui Wang, Bryan O'Gorman, Eleanor Gilbert Rieffel, Davide Venturelli, Rupak Biswas

Algorithms, 2019

Parameterization of Tensor Network Contraction.

Bryan O'Gorman

Proceedings of the 14th Conference on the Theory of Quantum Computation, 2019

2017

A NASA perspective on quantum computing: Opportunities and challenges.

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

Parallel Comput., 2017

An Investigation of Phase Transitions in Single-Machine Scheduling Problems.

Zhihui Wang, Bryan O'Gorman, Tony T. Tran, Eleanor Gilbert Rieffel, Jeremy Frank, Minh Do

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016

Comparing planning problem compilation approaches for quantum annealing.

Bryan O'Gorman, Eleanor Gilbert Rieffel, Minh Do, Davide Venturelli, Jeremy Frank

Knowl. Eng. Rev., 2016

A Hybrid Quantum-Classical Approach to Solving Scheduling Problems.

Tony T. Tran, Minh Do, Eleanor Gilbert Rieffel, Jeremy Frank, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, J. Christopher Beck

Proceedings of the Ninth Annual Symposium on Combinatorial Search, 2016

Explorations of Quantum-Classical Approaches to Scheduling a Mars Lander Activity Problem.

Tony T. Tran, Zhihui Wang, Minh Do, Eleanor Gilbert Rieffel, Jeremy Frank, Bryan O'Gorman, Davide Venturelli, J. Christopher Beck

Proceedings of the Planning for Hybrid Systems, 2016

2015

A case study in programming a quantum annealer for hard operational planning problems.

Eleanor Gilbert Rieffel, Davide Venturelli, Bryan O'Gorman, Minh Do, Elicia M. Prystay, Vadim Smelyanskiy

Quantum Inf. Process., 2015

2014

Bayesian Network Structure Learning Using Quantum Annealing.

Bryan O'Gorman, Alejandro Perdomo-Ortiz, Ryan Babbush, Alán Aspuru-Guzik, Vadim Smelyanskiy

CoRR, 2014