Lorenzo Leone

978 total citations · 2 hit papers
20 papers, 633 citations indexed

About

Lorenzo Leone is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Lorenzo Leone has authored 20 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Atomic and Molecular Physics, and Optics and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Lorenzo Leone's work include Quantum Computing Algorithms and Architecture (16 papers), Quantum Information and Cryptography (15 papers) and Quantum many-body systems (14 papers). Lorenzo Leone is often cited by papers focused on Quantum Computing Algorithms and Architecture (16 papers), Quantum Information and Cryptography (15 papers) and Quantum many-body systems (14 papers). Lorenzo Leone collaborates with scholars based in United States, Italy and Germany. Lorenzo Leone's co-authors include Salvatore F. E. Oliviero, Alioscia Hamma, Seth Lloyd, Lennart Bittel, M. Cerezo, Łukasz Cincio, Francesco Caravelli, You Zhou, Sofiène Jerbi and J. Douglas Rizzo and has published in prestigious journals such as Physical Review Letters, Nature Physics and Physics Letters A.

In The Last Decade

Lorenzo Leone

19 papers receiving 625 citations

Hit Papers

Stabilizer Rényi Entropy 2022 2026 2023 2024 2022 2024 50 100 150
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.

  1. Stabilizer Rényi Entropy
    2022 162 citations Lorenzo Leone, Salvatore F. E. Oliviero et al. Physical Review Letters profile →
  2. Stabilizer entropies are monotones for magic-state resource theory
    2024 46 citations Lorenzo Leone, Lennart Bittel Physical review. A profile →

Peers

Lorenzo Leone
Salvatore F. E. Oliviero United States
Sonika Johri United States
Christopher T. Chubb Australia
Artur García-Sáez Spain
Volkher B. Scholz Switzerland
S. Virmani United Kingdom
Andrew J. Ferris Australia
Jacob C. Bridgeman Australia
Anurag Anshu Singapore
Jin-Guo Liu China
Salvatore F. E. Oliviero United States
Lorenzo Leone
Citations per year, relative to Lorenzo Leone Lorenzo Leone (= 1×) peers Salvatore F. E. Oliviero

Countries citing papers authored by Lorenzo Leone

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Leone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Leone

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Leone. A scholar is included among the top collaborators of Lorenzo Leone 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 Lorenzo Leone. Lorenzo Leone 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.
Oliviero, Salvatore F. E., et al.. (2025). Magic-Induced Computational Separation in Entanglement Theory. PRX Quantum. 6(2). 12 indexed citations
2.
Leone, Lorenzo, J. Douglas Rizzo, Jens Eisert, & Sofiène Jerbi. (2025). Entanglement theory with limited computational resources. Nature Physics. 21(11). 1847–1854.
3.
Mele, Antonio Anna, et al.. (2025). Optimal Trace-Distance Bounds for Free-Fermionic States: Testing and Improved Tomography. PRX Quantum. 6(3). 1 indexed citations
4.
Leone, Lorenzo, Salvatore F. E. Oliviero, & Alioscia Hamma. (2024). Learning t-doped stabilizer states. Quantum. 8. 1361–1361. 20 indexed citations
5.
Leone, Lorenzo, et al.. (2024). Phase transition in stabilizer entropy and efficient purity estimation. Physical review. A. 109(3). 19 indexed citations
6.
Oliviero, Salvatore F. E., et al.. (2024). Doped stabilizer states in many-body physics and where to find them. Physical review. A. 110(6). 7 indexed citations
7.
Leone, Lorenzo, Salvatore F. E. Oliviero, Łukasz Cincio, & M. Cerezo. (2024). On the practical usefulness of the Hardware Efficient Ansatz. Quantum. 8. 1395–1395. 27 indexed citations
8.
Oliviero, Salvatore F. E., Lorenzo Leone, Seth Lloyd, & Alioscia Hamma. (2024). Unscrambling Quantum Information with Clifford Decoders. Physical Review Letters. 132(8). 80402–80402. 16 indexed citations
9.
Leone, Lorenzo, Salvatore F. E. Oliviero, Seth Lloyd, & Alioscia Hamma. (2024). Learning efficient decoders for quasichaotic quantum scramblers. Physical review. A. 109(2). 23 indexed citations
10.
Leone, Lorenzo & Lennart Bittel. (2024). Stabilizer entropies are monotones for magic-state resource theory. Physical review. A. 110(4). 46 indexed citations breakdown →
11.
Leone, Lorenzo, et al.. (2023). Stabilizer entropy dynamics after a quantum quench. Physical review. A. 108(4). 31 indexed citations
12.
Leone, Lorenzo, Salvatore F. E. Oliviero, & Alioscia Hamma. (2023). Nonstabilizerness determining the hardness of direct fidelity estimation. Physical review. A. 107(2). 39 indexed citations
13.
Oliviero, Salvatore F. E., Lorenzo Leone, & Alioscia Hamma. (2022). Magic-state resource theory for the ground state of the transverse-field Ising model. Physical review. A. 106(4). 54 indexed citations
14.
Oliviero, Salvatore F. E., Lorenzo Leone, Alioscia Hamma, & Seth Lloyd. (2022). Measuring magic on a quantum processor. npj Quantum Information. 8(1). 74 indexed citations
15.
Leone, Lorenzo, Salvatore F. E. Oliviero, & Alioscia Hamma. (2022). Stabilizer Rényi Entropy. Physical Review Letters. 128(5). 50402–50402. 162 indexed citations breakdown →
16.
Leone, Lorenzo, et al.. (2022). Retrieving information from a black hole using quantum machine learning. Physical review. A. 106(6). 15 indexed citations
17.
Oliviero, Salvatore F. E., Lorenzo Leone, You Zhou, & Alioscia Hamma. (2022). Stability of topological purity under random local unitaries. SciPost Physics. 12(3). 4 indexed citations
18.
Oliviero, Salvatore F. E., Lorenzo Leone, & Alioscia Hamma. (2021). Transitions in entanglement complexity in random quantum circuits by measurements. Physics Letters A. 418. 127721–127721. 33 indexed citations
19.
Leone, Lorenzo, Salvatore F. E. Oliviero, & Alioscia Hamma. (2021). Isospectral Twirling and Quantum Chaos. Entropy. 23(8). 1073–1073. 24 indexed citations
20.
Oliviero, Salvatore F. E., Lorenzo Leone, Francesco Caravelli, & Alioscia Hamma. (2021). Random matrix theory of the isospectral twirling. SciPost Physics. 10(3). 26 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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