Lev S. Bishop

6.2k total citations · 4 hit papers
35 papers, 3.4k citations indexed

About

Lev S. Bishop is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Lev S. Bishop has authored 35 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 25 papers in Atomic and Molecular Physics, and Optics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Lev S. Bishop's work include Quantum Information and Cryptography (26 papers), Quantum Computing Algorithms and Architecture (25 papers) and Quantum and electron transport phenomena (15 papers). Lev S. Bishop is often cited by papers focused on Quantum Information and Cryptography (26 papers), Quantum Computing Algorithms and Architecture (25 papers) and Quantum and electron transport phenomena (15 papers). Lev S. Bishop collaborates with scholars based in United States, Canada and Switzerland. Lev S. Bishop's co-authors include S. M. Girvin, Jay Gambetta, Robert Schoelkopf, Luigi Frunzio, David Schuster, Blake Johnson, Jerry M. Chow, L. DiCarlo, Michel Devoret and Sarah Sheldon and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Lev S. Bishop

34 papers receiving 3.3k citations

Hit Papers

Demonstration of two-qubit algorithms with a superconduct... 2008 2026 2014 2020 2009 2011 2019 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lev S. Bishop United States 19 2.8k 2.8k 393 191 169 35 3.4k
Christopher Eichler Switzerland 28 2.9k 1.0× 2.6k 0.9× 620 1.6× 113 0.6× 110 0.7× 55 3.5k
Norbert M. Linke United States 26 2.8k 1.0× 2.9k 1.0× 310 0.8× 117 0.6× 285 1.7× 63 3.8k
Gerhard Kirchmair Austria 24 4.4k 1.5× 3.7k 1.3× 393 1.0× 219 1.1× 177 1.0× 46 5.0k
M. Mariantoni United States 25 3.4k 1.2× 3.5k 1.2× 672 1.7× 307 1.6× 391 2.3× 42 4.3k
Chad Rigetti United States 16 1.9k 0.7× 1.9k 0.7× 275 0.7× 159 0.8× 90 0.5× 23 2.3k
Philip Krantz Sweden 15 1.4k 0.5× 1.3k 0.5× 313 0.8× 217 1.1× 92 0.5× 25 1.9k
Stefan Filipp Switzerland 31 3.5k 1.2× 3.0k 1.1× 330 0.8× 103 0.5× 88 0.5× 65 3.8k
Toshimori Honjo Japan 23 1.3k 0.5× 1.9k 0.7× 789 2.0× 89 0.5× 131 0.8× 76 2.4k
Hanhee Paik United States 14 1.7k 0.6× 1.5k 0.5× 294 0.7× 202 1.1× 44 0.3× 29 2.1k
Blake Johnson United States 24 5.8k 2.0× 5.6k 2.0× 735 1.9× 363 1.9× 181 1.1× 33 6.6k

Countries citing papers authored by Lev S. Bishop

Since Specialization
Citations

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

Fields of papers citing papers by Lev S. Bishop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lev S. Bishop. 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 Lev S. Bishop. The network helps show where Lev S. Bishop may publish in the future.

Co-authorship network of co-authors of Lev S. Bishop

This figure shows the co-authorship network connecting the top 25 collaborators of Lev S. Bishop. A scholar is included among the top collaborators of Lev S. Bishop 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 Lev S. Bishop. Lev S. Bishop 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.
Pednault, Edwin, Chai Wah Wu, Sarah Sheldon, et al.. (2023). Active learning of quantum system Hamiltonians yields query advantage. Physical Review Research. 5(3). 8 indexed citations
2.
Krsulich, Kevin, et al.. (2023). CaQR: A Compiler-Assisted Approach for Qubit Reuse through Dynamic Circuit. 59–71. 12 indexed citations
3.
Nannicini, Giacomo, Lev S. Bishop, Oktay Günlük, & Petar Jurcevic. (2022). Optimal Qubit Assignment and Routing via Integer Programming. 4(1). 1–31. 28 indexed citations
4.
Bishop, Lev S., et al.. (2021). Hardware-efficient random circuits to classify noise in a multi-qubit system. arXiv (Cornell University). 5 indexed citations
5.
Orcutt, Jason S., Hanhee Paik, Lev S. Bishop, et al.. (2020). Engineering electro-optics in SiGe/Si waveguides for quantum transduction. Quantum Science and Technology. 5(3). 34006–34006. 3 indexed citations
6.
Cross, Andrew W., Lev S. Bishop, Sarah Sheldon, Paul D. Nation, & Jay Gambetta. (2019). Validating quantum computers using randomized model circuits. Physical review. A. 100(3). 371 indexed citations breakdown →
7.
Bishop, Lev S.. (2017). QASM 2.0: A Quantum Circuit Intermediate Representation. Bulletin of the American Physical Society. 2017. 5 indexed citations
8.
Bronn, Nicholas T., Baleegh Abdo, Ken Inoue, et al.. (2017). Fast, high-fidelity readout of multiple qubits. Journal of Physics Conference Series. 834. 12003–12003. 10 indexed citations
9.
McKay, David, Ravi Naik, Philip Reinhold, Lev S. Bishop, & David Schuster. (2015). High-Contrast Qubit Interactions Using Multimode Cavity QED. Physical Review Letters. 114(8). 80501–80501. 49 indexed citations
10.
Kestner, J. P., Xin Wang, Lev S. Bishop, Edwin Barnes, & S. Das Sarma. (2013). Noise-Resistant Control for a Spin Qubit Array. Physical Review Letters. 110(14). 140502–140502. 81 indexed citations
11.
Wang, Xin, Lev S. Bishop, J. P. Kestner, et al.. (2012). Composite pulses for robust universal control of singlet–triplet qubits. Nature Communications. 3(1). 997–997. 135 indexed citations
12.
Paik, Hanhee, David Schuster, Lev S. Bishop, et al.. (2011). Observation of High Coherence in Josephson Junction Qubits Measured in a Three-Dimensional Circuit QED Architecture. Physical Review Letters. 107(24). 240501–240501. 712 indexed citations breakdown →
13.
Bishop, Lev S., Eran Ginossar, & S. M. Girvin. (2010). Response of the Strongly Driven Jaynes-Cummings Oscillator. Physical Review Letters. 105(10). 100505–100505. 89 indexed citations
14.
Fink, J. M., L. Steffen, Lev S. Bishop, et al.. (2010). Quantum-To-Classical Transition in Cavity Quantum Electrodynamics. Physical Review Letters. 105(16). 163601–163601. 56 indexed citations
15.
Ginossar, Eran, et al.. (2010). Protocol for high-fidelity readout in the photon-blockade regime of circuit QED. Physical Review A. 82(2). 15 indexed citations
16.
Chow, Jerry M., L. DiCarlo, Jay Gambetta, et al.. (2010). Detecting highly entangled states with a joint qubit readout. Physical Review A. 81(6). 74 indexed citations
17.
Chow, Jerry M., Jay Gambetta, Lars Tornberg, et al.. (2009). Randomized Benchmarking and Process Tomography for Gate Errors in a Solid-State Qubit. Physical Review Letters. 102(9). 90502–90502. 163 indexed citations
18.
DiCarlo, L., Jerry M. Chow, Jay Gambetta, et al.. (2009). Demonstration of two-qubit algorithms with a superconducting quantum processor. Nature. 460(7252). 240–244. 798 indexed citations breakdown →
19.
Chow, Jerry M., Jay Gambetta, Lars Tornberg, et al.. (2009). Publisher’s Note: Randomized Benchmarking and Process Tomography for Gate Errors in a Solid-State Qubit [Phys. Rev. Lett.102, 090502 (2009)]. Physical Review Letters. 102(11). 2 indexed citations
20.
Bishop, Lev S., et al.. (1960). Simple agitating device for partition experiments. Journal of Scientific Instruments. 37(6). 222–223. 1 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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