Bill Fefferman

1.4k total citations
25 papers, 589 citations indexed

About

Bill Fefferman is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Bill Fefferman has authored 25 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 11 papers in Atomic and Molecular Physics, and Optics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Bill Fefferman's work include Quantum Computing Algorithms and Architecture (23 papers), Quantum Information and Cryptography (14 papers) and Quantum many-body systems (8 papers). Bill Fefferman is often cited by papers focused on Quantum Computing Algorithms and Architecture (23 papers), Quantum Information and Cryptography (14 papers) and Quantum many-body systems (8 papers). Bill Fefferman collaborates with scholars based in United States, South Korea and Canada. Bill Fefferman's co-authors include Liang Jiang, Adam Bouland, Umesh Vazirani, Chinmay Nirkhe, Kyungjoo Noh, Changhun Oh, Abhinav Deshpande, Alexey V. Gorshkov, Dominik Hangleiter and Jens Eisert and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nature Physics.

In The Last Decade

Bill Fefferman

25 papers receiving 564 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bill Fefferman United States 13 526 353 92 51 31 25 589
Maarten Van den Nest Germany 13 668 1.3× 553 1.6× 93 1.0× 52 1.0× 19 0.6× 26 753
Ivan Pogorelov Austria 8 548 1.0× 452 1.3× 57 0.6× 80 1.6× 22 0.7× 11 676
Kyungjoo Noh United States 12 925 1.8× 685 1.9× 92 1.0× 105 2.1× 45 1.5× 21 995
Gregory Quiroz United States 12 297 0.6× 205 0.6× 30 0.3× 29 0.6× 25 0.8× 24 341
Olivier Landon-Cardinal Canada 8 655 1.2× 555 1.6× 30 0.3× 43 0.8× 54 1.7× 15 748
Erika Ye United States 6 381 0.7× 318 0.9× 45 0.5× 35 0.7× 47 1.5× 9 486
Christophe Vuillot Germany 6 694 1.3× 469 1.3× 119 1.3× 98 1.9× 25 0.8× 14 750
Zhenyu Cai United Kingdom 9 407 0.8× 270 0.8× 59 0.6× 68 1.3× 18 0.6× 17 488
Eric R. Anschuetz United States 6 514 1.0× 613 1.7× 44 0.5× 51 1.0× 33 1.1× 13 800
C. Huerta Alderete United States 12 443 0.8× 345 1.0× 55 0.6× 41 0.8× 52 1.7× 23 554

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-authorship network of co-authors of Bill Fefferman

This figure shows the co-authorship network connecting the top 25 collaborators of Bill Fefferman. A scholar is included among the top collaborators of Bill Fefferman 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 Bill Fefferman. Bill Fefferman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Oh, Changhun, Bill Fefferman, Liang Jiang, & Nicolás Quesada. (2024). Quantum-Inspired Classical Algorithm for Graph Problems by Gaussian Boson Sampling. PRX Quantum. 5(2). 5 indexed citations
2.
Belkin, Daniel, Jonny Allen, Soumik Ghosh, et al.. (2024). Approximate t-Designs in Generic Circuit Architectures. PRX Quantum. 5(4). 4 indexed citations
3.
Oh, Changhun, et al.. (2024). Quantum-inspired classical algorithms for molecular vibronic spectra. Nature Physics. 20(2). 225–231. 6 indexed citations
4.
Chen, Senrui, Yunchao Liu, Matthew Otten, et al.. (2023). The learnability of Pauli noise. Nature Communications. 14(1). 52–52. 21 indexed citations
5.
Ghosh, Soumik, Abhinav Deshpande, Dominik Hangleiter, Alexey V. Gorshkov, & Bill Fefferman. (2023). Complexity Phase Transitions Generated by Entanglement. Physical Review Letters. 131(3). 30601–30601. 5 indexed citations
6.
Oh, Changhun, Liang Jiang, & Bill Fefferman. (2023). Spoofing Cross-Entropy Measure in Boson Sampling. Physical Review Letters. 131(1). 10401–10401. 13 indexed citations
7.
Maskara, Nishad, Abhinav Deshpande, Adam Ehrenberg, et al.. (2022). Complexity Phase Diagram for Interacting and Long-Range Bosonic Hamiltonians. Physical Review Letters. 129(15). 150604–150604. 12 indexed citations
8.
Deshpande, Abhinav, Pradeep Niroula, Oles Shtanko, et al.. (2022). Tight Bounds on the Convergence of Noisy Random Circuits to the Uniform Distribution. PRX Quantum. 3(4). 29 indexed citations
9.
O’Gorman, Bryan, Sandy Irani, James Whitfield, & Bill Fefferman. (2022). Intractability of Electronic Structure in a Fixed Basis. PRX Quantum. 3(2). 16 indexed citations
10.
Oh, Changhun, et al.. (2022). Classical Simulation of Boson Sampling Based on Graph Structure. Physical Review Letters. 128(19). 190501–190501. 21 indexed citations
11.
Oh, Changhun, Kyungjoo Noh, Bill Fefferman, & Liang Jiang. (2021). Classical simulation of lossy boson sampling using matrix product operators. Physical review. A. 104(2). 23 indexed citations
12.
Haferkamp, Jonas, Dominik Hangleiter, Adam Bouland, et al.. (2020). Closing Gaps of a Quantum Advantage with Short-Time Hamiltonian Dynamics. Physical Review Letters. 125(25). 250501–250501. 18 indexed citations
13.
Bouland, Adam, Bill Fefferman, & Umesh Vazirani. (2020). Computational Pseudorandomness, the Wormhole Growth Paradox, and Constraints on the AdS/CFT Duality (Abstract). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 4 indexed citations
14.
Deshpande, Abhinav, Bill Fefferman, Minh C. Tran, Michael Foss‐Feig, & Alexey V. Gorshkov. (2018). Dynamical Phase Transitions in Sampling Complexity. Physical Review Letters. 121(3). 30501–30501. 29 indexed citations
15.
Bouland, Adam, Bill Fefferman, Chinmay Nirkhe, & Umesh Vazirani. (2018). On the complexity and verification of quantum random circuit sampling. Nature Physics. 15(2). 159–163. 158 indexed citations
16.
Fefferman, Bill, Michael Foss‐Feig, & Alexey V. Gorshkov. (2017). Exact sampling hardness of Ising spin models. Physical review. A. 96(3). 7 indexed citations
17.
Fefferman, Bill & Christopher Umans. (2016). The Power of Quantum Fourier Sampling. 19. 4 indexed citations
18.
Fefferman, Bill, Ronen Shaltiel, Christopher Umans, & Emanuele Viola. (2013). . Theory of Computing. 9(1). 809–843. 11 indexed citations
19.
Aaronson, Scott, Salman Beigi, Andrew Drucker, Bill Fefferman, & Peter W. Shor. (2009). . Theory of Computing. 5(1). 1–42. 25 indexed citations
20.
Aaronson, Scott, Salman Beigi, Andrew Drucker, Bill Fefferman, & Peter W. Shor. (2008). The Power of Unentanglement. 223–236. 11 indexed citations

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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