Bryan O’Gorman

2.1k total citations · 2 hit papers
23 papers, 1.2k citations indexed

About

Bryan O’Gorman is a scholar working on Artificial Intelligence, Computer Networks and Communications and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Bryan O’Gorman has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Bryan O’Gorman's work include Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (6 papers) and Quantum many-body systems (4 papers). Bryan O’Gorman is often cited by papers focused on Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (6 papers) and Quantum many-body systems (4 papers). Bryan O’Gorman collaborates with scholars based in United States, Canada and Norway. Bryan O’Gorman's co-authors include Davide Venturelli, Eleanor Rieffel, Rupak Biswas, Stuart Hadfield, Zhihui Wang, Vadim Smelyanskiy, Ryan Babbush, Salvatore Mandrà, Joonho Lee and Sergey Knysh and has published in prestigious journals such as Nature, Scientific Reports and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Bryan O’Gorman

23 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2019 431 citations Stuart Hadfield, Zhihui Wang et al. Algorithms profile →
Unbiasing fermionic quantum Monte Carlo with a quantum computer

2022 142 citations William J. Huggins, Bryan O’Gorman et al. Nature profile →

Peers

Countries citing papers authored by Bryan O’Gorman

Since Specialization

Citations

This map shows the geographic impact of Bryan O’Gorman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bryan O’Gorman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan O’Gorman more than expected).

Fields of papers citing papers by Bryan O’Gorman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan O’Gorman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bryan O’Gorman. The network helps show where Bryan O’Gorman may publish in the future.

Co-authorship network of co-authors of Bryan O’Gorman

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan O’Gorman. A scholar is included among the top collaborators of Bryan O’Gorman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bryan O’Gorman. Bryan O’Gorman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Unbiasing fermionic auxiliary-field quantum Monte Carlo with matrix product state trial wavefunctions 2025 ·Physical Review Research ·Tong Jiang, Bryan O’Gorman, (unknown), Joonho Lee	9
2	Unbiasing fermionic quantum Monte Carlo with a quantum computer breakdown → 2022 ·Nature ·William J. Huggins, Bryan O’Gorman, Nicholas C. Rubin, David R. Reichman, Ryan Babbush, Joonho Lee	142
3	Intractability of Electronic Structure in a Fixed Basis 2022 ·PRX Quantum ·Bryan O’Gorman, Sandy Irani, James Whitfield, Bill Fefferman	16
4	A Hybrid Quantum-Classical Approach to Solving Scheduling Problems 2021 ·Proceedings of the International Symposium on Combinatorial Search ·Tony Tran, N. Minh, Eleanor Rieffel, Jeremy Frank, (unknown), Bryan O’Gorman, Davide Venturelli, J. Christopher Beck	31
5	Quantum-accelerated constraint programming 2021 ·Quantum ·(unknown), Bryan O’Gorman, Jeffrey Marshall, Stuart Hadfield, Eleanor Rieffel	8
6	Parameterization of Tensor Network Contraction 2019 ·DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) ·Bryan O’Gorman	1
7	Quantum Annealing Applied to De-Conflicting Optimal Trajectories for Air Traffic Management 2019 ·IEEE Transactions on Intelligent Transportation Systems ·Tobias Stollenwerk, Bryan O’Gorman, Davide Venturelli, Salvatore Mandrà, (unknown), (unknown), Banavar Sridhar, Eleanor Rieffel, Rupak Biswas	74
8	From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz breakdown → 2019 ·Algorithms ·Stuart Hadfield, Zhihui Wang, Bryan O’Gorman, Eleanor Rieffel, Davide Venturelli, Rupak Biswas	431
9	Overview of NASA QuAIL Team Research 2019 ·NASA Technical Reports Server (NASA) ·Shon Grabbe, Eleanor Rieffel, Stuart Hadfield, Salvatore Mandrà, Jeffrey Marshall, (unknown), Norm M. Tubman, Davide Venturelli, Walter Vinci, (unknown), (unknown), Filip Wudarski, Bryan O’Gorman	1
10	An Investigation of Phase Transitions in Single-Machine Scheduling Problems 2017 ·Proceedings of the International Conference on Automated Planning and Scheduling ·(unknown), Bryan O’Gorman, Tony Tran, Eleanor Rieffel, Jeremy Frank, N. Minh	2
11	Quantum Approximate Optimization with Hard and Soft Constraints 2017 ·Stuart Hadfield, Zhihui Wang, Eleanor Rieffel, Bryan O’Gorman, Davide Venturelli, Rupak Biswas	24
12	Explorations of Quantum-Classical Approaches to Scheduling a Mars Lander Activity Problem 2016 ·National Conference on Artificial Intelligence ·Tony Tran, Zhihui Wang, N. Minh, Eleanor Rieffel, Jeremy Frank, Bryan O’Gorman, Davide Venturelli, J. Christopher Beck	4
13	Determination and correction of persistent biases in quantum annealers 2016 ·Scientific Reports ·Alejandro Perdomo‐Ortiz, Bryan O’Gorman, (unknown), Rupak Biswas, Vadim Smelyanskiy	29
14	Comparing planning problem compilation approaches for quantum annealing 2016 ·The Knowledge Engineering Review ·Bryan O’Gorman, Eleanor Rieffel, N. Minh, Davide Venturelli, Jeremy Frank	2
15	A NASA perspective on quantum computing: Opportunities and challenges 2016 ·Parallel Computing ·Rupak Biswas, Jiang Zhang, (unknown), Sergey Knysh, Salvatore Mandrà, Bryan O’Gorman, Alejandro Perdomo‐Ortiz, Andre Petukhov, John Realpe-Gómez, Eleanor Rieffel, Davide Venturelli, F. T. Vasko, Zhihui Wang	57
16	Programming and Tuning a Quantum Annealing Device to Solve Real World Problems 2015 ·Bulletin of the American Physical Society ·Alejandro Perdomo‐Ortiz, Bryan O’Gorman, (unknown), Vadim Smelyanskiy	1
17	Bayesian network structure learning using quantum annealing 2015 ·The European Physical Journal Special Topics ·Bryan O’Gorman, Ryan Babbush, Alejandro Perdomo‐Ortiz, Alán Aspuru‐Guzik, Vadim Smelyanskiy	54
18	Compiling Planning into Quantum Optimization Problems: A Comparative Study 2015 ·Bryan O’Gorman, Eleanor Rieffel, N. Minh, Davide Venturelli, Jeremy Frank	3
19	A case study in programming a quantum annealer for hard operational planning problems 2014 ·Quantum Information Processing ·Eleanor Rieffel, Davide Venturelli, Bryan O’Gorman, Bùi Quang Minh, (unknown), Vadim Smelyanskiy	131
20	Construction of Energy Functions for Lattice Heteropolymer Models: Efficient Encodings for Constraint Satisfaction Programming and Quantum Annealing 2012 ·arXiv (Cornell University) ·Ryan Babbush, Alejandro Perdomo‐Ortiz, Bryan O’Gorman, William G. Macready, Alán Aspuru‐Guzik	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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