Pietro Silvi

1.7k total citations · 1 hit paper
32 papers, 936 citations indexed

About

Pietro Silvi is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Pietro Silvi has authored 32 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atomic and Molecular Physics, and Optics, 11 papers in Condensed Matter Physics and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Pietro Silvi's work include Quantum many-body systems (28 papers), Cold Atom Physics and Bose-Einstein Condensates (13 papers) and Physics of Superconductivity and Magnetism (10 papers). Pietro Silvi is often cited by papers focused on Quantum many-body systems (28 papers), Cold Atom Physics and Bose-Einstein Condensates (13 papers) and Physics of Superconductivity and Magnetism (10 papers). Pietro Silvi collaborates with scholars based in Italy, Germany and Austria. Pietro Silvi's co-authors include Simone Montangero, Tommaso Calarco, P. Zoller, Manuel Endres, Hannes Pichler, Rhine Samajdar, Ahmed Omran, Markus Greiner, Soonwon Choi and Vladan Vuletić and has published in prestigious journals such as Nature, Physical Review Letters and Physical Review B.

In The Last Decade

Pietro Silvi

32 papers receiving 927 citations

Hit Papers

Quantum Kibble–Zurek mechanism and critical dynamics on a... 2019 2026 2021 2023 2019 100 200 300
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. Quantum Kibble–Zurek mechanism and critical dynamics on a programmable Rydberg simulator
    2019 337 citations Alexander Keesling, Ahmed Omran et al. Nature profile →

Peers

Pietro Silvi
Iztok Pižorn Slovenia
Alessio Lerose Switzerland
Robert Schittko United States
M. Friesdorf Germany
Phillip Weinberg United States
Julian Léonard United States
Thiago R. de Oliveira Brazil
Christina V. Kraus Austria
Matteo Ippoliti United States
M. M. Wolf Germany
Iztok Pižorn Slovenia
Pietro Silvi
Citations per year, relative to Pietro Silvi Pietro Silvi (= 1×) peers Iztok Pižorn

Countries citing papers authored by Pietro Silvi

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Silvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Silvi

This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Silvi. A scholar is included among the top collaborators of Pietro Silvi 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 Pietro Silvi. Pietro Silvi 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.
Magnifico, Giuseppe, et al.. (2025). Tensor networks for lattice gauge theories beyond one dimension. Communications Physics. 8(1). 3 indexed citations
2.
Calajò, Giuseppe, et al.. (2025). Quantum many-body scarring in a non-Abelian lattice gauge theory. Physical Review Research. 7(1). 4 indexed citations
3.
Silvi, Pietro, et al.. (2025). Optimal sampling of tensor networks targeting wave function's fast decaying tails. Quantum. 9. 1714–1714. 1 indexed citations
4.
Calajò, Giuseppe, et al.. (2024). Digital Quantum Simulation of a (1+1)D SU(2) Lattice Gauge Theory with Ion Qudits. PRX Quantum. 5(4). 14 indexed citations
5.
Magnifico, Giuseppe, et al.. (2024). Simulating (2+1)D SU(2) Yang-Mills lattice gauge theory at finite density with tensor networks. Physical Review Research. 6(3). 15 indexed citations
6.
Magnifico, Giuseppe, et al.. (2024). Digital quantum simulation of lattice fermion theories with local encoding. Quantum. 8. 1460–1460. 1 indexed citations
7.
Liberto, Marco Di, et al.. (2024). Strongly Interacting Photons in 2D Waveguide QED. Physical Review Letters. 132(16). 163602–163602. 4 indexed citations
8.
Jaschke, Daniel, et al.. (2024). Finite-temperature Rydberg arrays: Quantum phases and entanglement characterization. Physical Review Research. 6(3). 1 indexed citations
9.
Meth, M., Rick van Bijnen, Lukas Postler, et al.. (2022). Probing Phases of Quantum Matter with an Ion-Trap Tensor-Network Quantum Eigensolver. Physical Review X. 12(4). 5 indexed citations
10.
Kaubruegger, Raphael, Pietro Silvi, Christian Kokail, et al.. (2019). Variational Spin-Squeezing Algorithms on Programmable Quantum Sensors. Physical Review Letters. 123(26). 260505–260505. 90 indexed citations
11.
Keesling, Alexander, Ahmed Omran, Harry Levine, et al.. (2019). Quantum Kibble–Zurek mechanism and critical dynamics on a programmable Rydberg simulator. Nature. 568(7751). 207–211. 337 indexed citations breakdown →
12.
Keesling, Alexander, Ahmed Omran, Harry Levine, et al.. (2018). Probing quantum critical dynamics on a programmable Rydberg simulator. CaltechAUTHORS (California Institute of Technology). 1 indexed citations
13.
Silvi, Pietro, et al.. (2017). Density of states of many-body quantum systems from tensor networks. Physical review. B.. 96(9). 10 indexed citations
14.
Silvi, Pietro, et al.. (2017). Nonequilibrium quantum thermodynamics in Coulomb crystals. Physical review. A. 95(6). 4 indexed citations
15.
Werner, Albert H., Daniel Jaschke, Pietro Silvi, et al.. (2016). Positive Tensor Network Approach for Simulating Open Quantum Many-Body Systems. Physical Review Letters. 116(23). 237201–237201. 109 indexed citations
16.
Silvi, Pietro, Giovanna Morigi, Tommaso Calarco, & Simone Montangero. (2016). Crossover from Classical to Quantum Kibble-Zurek Scaling. Physical Review Letters. 116(22). 225701–225701. 27 indexed citations
17.
Silvi, Pietro, et al.. (2014). Unconstrained tree tensor network: An adaptive gauge picture for enhanced performance. Physical Review B. 90(12). 38 indexed citations
18.
Silvi, Pietro, Gabriele De Chiara, Tommaso Calarco, Giovanna Morigi, & Simone Montangero. (2013). Full characterization of the quantum linear‐zigzag transition in atomic chains. Annalen der Physik. 525(10-11). 827–832. 20 indexed citations
19.
Peotta, Sebastiano, Davide Rossini, Pietro Silvi, et al.. (2012). Short-Time Spin Dynamics in Strongly Correlated Few-Fermion Systems. Physical Review Letters. 108(24). 245302–245302. 6 indexed citations
20.
Rizzi, Matteo, Simone Montangero, Pietro Silvi, Vittorio Giovannetti, & Rosario Fazio. (2010). Homogeneous multiscale entanglement renormalization ansatz tensor networks for quantum critical systems. New Journal of Physics. 12(7). 75018–75018. 3 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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