Bill Fefferman

1.4k citations

25 papers · 589 indexed · h-index 13

Impact in

Artificial Intelligence top 2%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
Atomic and Molecular Physics, and Optics top 10%
- Quantum many-body systems
- Quantum Mechanics and Applications
- Quantum and electron transport phenomena
- Cold Atom Physics and Bose-Einstein Condensates

Papers in ⓘ

Artificial Intelligence 24
- Quantum Computing Algorithms and Architecture 23
- Quantum Information and Cryptography 14
- Neural Networks and Reservoir Computing 3
Atomic and Molecular Physics, and Optics 11
- Quantum many-body systems 8
- Quantum Mechanics and Applications 3

Co-authors: Liang Jiang (8 shared papers)Adam Bouland (3 shared papers)Umesh Vazirani (2 shared papers)Chinmay Nirkhe (1 shared paper)Kyungjoo Noh (2 shared papers)Changhun Oh (6 shared papers)Abhinav Deshpande (5 shared papers)Alexey V. Gorshkov (5 shared papers)
Journals: Physical Review Letters (6 papers)PRX Quantum (5 papers)Nature Physics (3 papers)Theory of Computing (2 papers)Physical review. A (2 papers)
Partner nations: United States South Korea Canada

In The Last Decade

Bill Fefferman

25 papers receiving 564 citations

Peers

Countries citing papers authored by Bill Fefferman

Since Specialization

Citations

This map shows the geographic impact of Bill Fefferman'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 Bill Fefferman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Fefferman more than expected).

Fields of papers citing papers by Bill Fefferman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bill Fefferman. 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 Bill Fefferman. The network helps show where Bill Fefferman may publish in the future.

Co-authors

The 25 scholars most cited alongside Bill Fefferman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bill Fefferman Line = papers co-authored together Bill Fefferman links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	On the complexity and verification of quantum random circuit sampling Nature Physics ·Adam Bouland, Bill Fefferman, Chinmay Nirkhe, Umesh Vazirani	2018	158
2	Efficient classical simulation of noisy random quantum circuits in one dimension Quantum ·Kyungjoo Noh, Liang Jiang, Bill Fefferman	2020	71
3	Quantum computational advantage via high-dimensional Gaussian boson sampling Science Advances ·Abhinav Deshpande, Arthur Mehta, Trevor Vincent, Nicolás Quesada, Marcel Hinsche, Marios Ioannou, Lars S. Madsen, Jonathan Lavoie, Haoyu Qi, Jens Eisert, Dominik Hangleiter, Bill Fefferman, Ish Dhand	2022	70
4	Dynamical Phase Transitions in Sampling Complexity Physical Review Letters ·Abhinav Deshpande, Bill Fefferman, Minh C. Tran, Michael Foss‐Feig, Alexey V. Gorshkov	2018	29
5	Tight Bounds on the Convergence of Noisy Random Circuits to the Uniform Distribution PRX Quantum ·Abhinav Deshpande, Pradeep Niroula, Oles Shtanko, Alexey V. Gorshkov, Bill Fefferman, Michael J. Gullans	2022	29
6	Theory of Computing ·Scott Aaronson, Salman Beigi, Andrew Drucker, Bill Fefferman, Peter W. Shor	2009	25
7	Classical simulation of lossy boson sampling using matrix product operators Physical review. A ·Changhun Oh, Kyungjoo Noh, Bill Fefferman, Liang Jiang	2021	23
8	The learnability of Pauli noise Nature Communications ·Senrui Chen, Yunchao Liu, Matthew Otten, Alireza Seif, Bill Fefferman, Liang Jiang	2023	21
9	Classical Simulation of Boson Sampling Based on Graph Structure Physical Review Letters ·Changhun Oh, Youngrong Lim, Bill Fefferman, Liang Jiang	2022	21
10	Closing Gaps of a Quantum Advantage with Short-Time Hamiltonian Dynamics Physical Review Letters ·Jonas Haferkamp, Dominik Hangleiter, Adam Bouland, Bill Fefferman, Jens Eisert, Juan Bermejo-Vega	2020	18
11	Intractability of Electronic Structure in a Fixed Basis PRX Quantum ·Bryan O’Gorman, Sandy Irani, James Whitfield, Bill Fefferman	2022	16
12	Classical algorithm for simulating experimental Gaussian boson sampling Nature Physics ·Changhun Oh, Minzhao Liu, Yuri Alexeev, Bill Fefferman, Liang Jiang	2024	16
13	Spoofing Cross-Entropy Measure in Boson Sampling Physical Review Letters ·Changhun Oh, Liang Jiang, Bill Fefferman	2023	13
14	Complexity Phase Diagram for Interacting and Long-Range Bosonic Hamiltonians Physical Review Letters ·Nishad Maskara, Abhinav Deshpande, Adam Ehrenberg, Minh C. Tran, Bill Fefferman, Alexey V. Gorshkov	2022	12
15	Theory of Computing ·Bill Fefferman, Ronen Shaltiel, Christopher Umans, Emanuele Viola	2013	11
16	The Power of Unentanglement Scott Aaronson, Salman Beigi, Andrew Drucker, Bill Fefferman, Peter W. Shor	2008	11
17	Effect of Nonunital Noise on Random-Circuit Sampling PRX Quantum ·Bill Fefferman, Soumik Ghosh, Michael J. Gullans, Kohdai Kuroiwa, Kunal Sharma	2024	8
18	Exact sampling hardness of Ising spin models Physical review. A ·Bill Fefferman, Michael Foss‐Feig, Alexey V. Gorshkov	2017	7
19	Quantum-inspired classical algorithms for molecular vibronic spectra Nature Physics ·Changhun Oh, Youngrong Lim, Yat Wong, Bill Fefferman, Liang Jiang	2024	6
20	Quantum-Inspired Classical Algorithm for Graph Problems by Gaussian Boson Sampling PRX Quantum ·Changhun Oh, Bill Fefferman, Liang Jiang, Nicolás Quesada	2024	5

About Bill Fefferman

Bill Fefferman is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Statistics and Probability, having authored 25 papers that have together received 589 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (23 papers), Quantum Information and Cryptography (14 papers), Quantum many-body systems (8 papers), Complexity and Algorithms in Graphs (4 papers), Computability, Logic, AI Algorithms (4 papers), Low-power high-performance VLSI design (3 papers), Neural Networks and Reservoir Computing (3 papers) and Quantum Mechanics and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (526 citations), Atomic and Molecular Physics, and Optics (353 citations), Computational Mathematics (4 citations), Computational Theory and Mathematics (92 citations) and Statistical and Nonlinear Physics (31 citations). Bill Fefferman has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Liang Jiang, Adam Bouland, Umesh Vazirani, Chinmay Nirkhe, Kyungjoo Noh, Changhun Oh, Abhinav Deshpande, Alexey V. Gorshkov, Dominik Hangleiter and Minh C. Tran. Their work appears in journals such as Physical Review Letters, PRX Quantum, Nature Physics, Theory of Computing and Physical review. A.

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.

Explore authors with similar magnitude of impact