Pavel Lougovski

2.4k total citations · 1 hit paper
45 papers, 1.5k citations indexed

About

Pavel Lougovski is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Pavel Lougovski has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 31 papers in Atomic and Molecular Physics, and Optics and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Pavel Lougovski's work include Quantum Information and Cryptography (34 papers), Quantum Computing Algorithms and Architecture (24 papers) and Quantum Mechanics and Applications (16 papers). Pavel Lougovski is often cited by papers focused on Quantum Information and Cryptography (34 papers), Quantum Computing Algorithms and Architecture (24 papers) and Quantum Mechanics and Applications (16 papers). Pavel Lougovski collaborates with scholars based in United States, Germany and Peru. Pavel Lougovski's co-authors include E. Solano, Joseph M. Lukens, Titus Morris, Eugene Dumitrescu, Raphael C. Pooser, Alex McCaskey, Andrew M. Weiner, Hsuan‐Hao Lu, Mikel Sanz and T. Papenbrock and has published in prestigious journals such as Science, Physical Review Letters and Physical Review A.

In The Last Decade

Pavel Lougovski

42 papers receiving 1.5k citations

Hit Papers

Quantum-classical computation of Schwinger model dynamics... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavel Lougovski United States 19 1.2k 1.1k 279 119 67 45 1.5k
Ravi Naik United States 16 1.1k 0.9× 1.1k 0.9× 142 0.5× 75 0.6× 43 0.6× 38 1.3k
Varun Vaidya United States 17 699 0.6× 865 0.8× 209 0.7× 347 2.9× 51 0.8× 30 1.5k
Diego Ristè United States 16 1.2k 1.0× 1.6k 1.4× 222 0.8× 26 0.2× 109 1.6× 21 2.0k
Eugene Dumitrescu United States 15 674 0.6× 769 0.7× 76 0.3× 113 0.9× 198 3.0× 38 1.1k
Jonas Bylander Sweden 20 1.2k 1.0× 1.5k 1.3× 294 1.1× 26 0.2× 138 2.1× 48 1.7k
Christine A. Muschik Germany 18 1.5k 1.3× 2.1k 1.8× 149 0.5× 242 2.0× 214 3.2× 41 2.4k
Dolev Bluvstein United States 15 641 0.5× 1.0k 0.9× 116 0.4× 29 0.2× 195 2.9× 24 1.4k
Terri M. Yu United States 4 1.7k 1.4× 1.9k 1.7× 183 0.7× 112 0.9× 199 3.0× 4 2.2k
J. Casanova Spain 24 1.4k 1.1× 1.8k 1.5× 101 0.4× 48 0.4× 55 0.8× 67 2.0k
Tout T. Wang United States 10 983 0.8× 1.5k 1.3× 88 0.3× 31 0.3× 250 3.7× 14 1.8k

Countries citing papers authored by Pavel Lougovski

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Lougovski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Lougovski

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Lougovski. A scholar is included among the top collaborators of Pavel Lougovski 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 Pavel Lougovski. Pavel Lougovski 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.
Ciavarella, Anthony N., et al.. (2023). Simulating Heisenberg interactions in the Ising model with strong drive fields. Physical review. A. 108(4). 4 indexed citations
2.
Wu, S. L., J. Chan, W. Guan, et al.. (2022). Application of Quantum Machine Learning to HEP Analysis at LHC Using Quantum Computer Simulators and Quantum Computer Hardware. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 842–842. 2 indexed citations
3.
Qi, Bing, Pavel Lougovski, & Brian P. Williams. (2020). Characterizing photon number statistics using conjugate optical homodyne detection. Optics Express. 28(2). 2276–2276. 14 indexed citations
4.
Lougovski, Pavel, et al.. (2020). Digital-analog quantum computation. Physical review. A. 101(2). 59 indexed citations
5.
Maier, Thomas, et al.. (2020). Quantum-classical simulation of two-site dynamical mean-field theory on noisy quantum hardware. Quantum Science and Technology. 5(3). 35001–35001. 30 indexed citations
6.
Lu, Hsuan‐Hao, et al.. (2020). Fully Arbitrary Control of Frequency-Bin Qubits. Physical Review Letters. 125(12). 120503–120503. 40 indexed citations
7.
Lu, Hsuan‐Hao, Natalie Klco, Joseph M. Lukens, et al.. (2019). Simulations of subatomic many-body physics on a quantum frequency processor. Physical review. A. 100(1). 89 indexed citations
8.
Klco, Natalie, Eugene Dumitrescu, Alex McCaskey, et al.. (2018). Quantum-Classical Dynamical Calculations of the Schwinger Model using Quantum Computers. arXiv (Cornell University). 1 indexed citations
9.
Lu, Hsuan‐Hao, Joseph M. Lukens, Nicholas A. Peters, et al.. (2018). Quantum interference and correlation control of frequency-bin qubits. Optica. 5(11). 1455–1455. 83 indexed citations
10.
Lu, Hsuan‐Hao, Joseph M. Lukens, Nicholas A. Peters, et al.. (2018). Electro-Optic Frequency Beam Splitters and Tritters for High-Fidelity Photonic Quantum Information Processing. Physical Review Letters. 120(3). 30502–30502. 113 indexed citations
11.
Dumitrescu, Eugene, Alex McCaskey, G. Hagen, et al.. (2018). Cloud Quantum Computing of an Atomic Nucleus. Physical Review Letters. 120(21). 210501–210501. 251 indexed citations
12.
Lougovski, Pavel & S. J. van Enk. (2009). Strengthened Bell inequalities for entanglement verification. Physical Review A. 80(3). 7 indexed citations
13.
Lougovski, Pavel, S. J. van Enk, K. S. Choi, et al.. (2009). Verifying multipartite mode entanglement of W states. New Journal of Physics. 11(6). 63029–63029. 31 indexed citations
14.
Jacobs, Kurt, Pavel Lougovski, & M. P. Blencowe. (2007). Continuous Measurement of the Energy Eigenstates of a Nanomechanical Resonator without a Nondemolition Probe. Physical Review Letters. 98(14). 147201–147201. 33 indexed citations
15.
Jacobs, Kurt, Pavel Lougovski, & M. P. Blencowe. (2006). Performing a Quantum Non-Demolition Measurement of the Energy of a Nano-Mechanical Resonator Without a Non-Demolition Probe. arXiv (Cornell University).
16.
Agarwal, G. S., et al.. (2005). Multiparticle entanglement and the Schrödinger cat state using ground-state coherences. Journal of Modern Optics. 52(10). 1397–1404. 8 indexed citations
17.
Lougovski, Pavel, E. Solano, & H. Walther. (2005). Generation and purification of maximally entangled atomic states in optical cavities. Physical Review A. 71(1). 38 indexed citations
18.
Lougovski, Pavel, et al.. (2004). Solvable model of a strongly driven micromaser. Physical Review A. 69(2). 16 indexed citations
19.
Lougovski, Pavel, et al.. (2003). Fresnel Representation of the Wigner Function: An Operational Approach. Physical Review Letters. 91(1). 10401–10401. 32 indexed citations
20.
Lougovski, Pavel, et al.. (2002). Fresnel Transform: An Operational Definition of the Wigner Function. arXiv (Cornell University). 2 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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