Simone Montangero

8.4k total citations · 3 hit papers
151 papers, 5.7k citations indexed

About

Simone Montangero is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Simone Montangero has authored 151 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Atomic and Molecular Physics, and Optics, 86 papers in Artificial Intelligence and 26 papers in Condensed Matter Physics. Recurrent topics in Simone Montangero's work include Quantum many-body systems (72 papers), Quantum Information and Cryptography (65 papers) and Quantum Computing Algorithms and Architecture (51 papers). Simone Montangero is often cited by papers focused on Quantum many-body systems (72 papers), Quantum Information and Cryptography (65 papers) and Quantum Computing Algorithms and Architecture (51 papers). Simone Montangero collaborates with scholars based in Italy, Germany and Austria. Simone Montangero's co-authors include Tommaso Calarco, Rosario Fazio, Vittorio Giovannetti, Gabriele De Chiara, Tommaso Caneva, Davide Rossini, Pietro Silvi, Michael Murphy, Giuseppe E. Santoro and Matteo Rizzi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Simone Montangero

148 papers receiving 5.6k citations

Hit Papers

align trajectories

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.

Generation and manipulation of Schrödinger cat states in Rydberg atom arrays

2019 412 citations Ahmed Omran, Harry Levine et al. Science profile →
Simulating lattice gauge theories within quantum technologies

2019 360 citations Mari Carmen Bañuls, R. Blatt et al. Apollo (University of Cambridge) profile →
Optimal Control at the Quantum Speed Limit

2009 357 citations Tommaso Calarco, Rosario Fazio et al. profile →

Peers

Simone Montangero

AMPO

AI

SNP

CMP

NHEP

Philipp Hauke Germany

M. Cramer Germany

Tobias J. Osborne Germany

Manuel Endres United States

Marcello Dalmonte Italy

Michael M. Wolf Germany

Paul Hess United States

Juan José García‐Ripoll Spain

M. B. Hastings United States

Paolo Zanardi Italy

Philipp Hauke Germany

Simone Montangero

6.2k ×1.3

AMPO

2.6k ×0.8

AI

1.2k ×1.3

SNP

1.4k ×2.0

CMP

370 ×1.3

NHEP

Citations per year, relative to Simone Montangero Simone Montangero (= 1×) peers Philipp Hauke

Countries citing papers authored by Simone Montangero

Since Specialization

Citations

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

Fields of papers citing papers by Simone Montangero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Montangero

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

All Works

Sort: Min cites: Since: Top N: Style:

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.

Baiardi, Alberto, et al.. (2025). Hybrid Tree Tensor Networks for Quantum Simulation. PRX Quantum. 6(1). 1 indexed citations

3.

Calajò, Giuseppe, et al.. (2025). Quantum many-body scarring in a non-Abelian lattice gauge theory. Physical Review Research. 7(1). 4 indexed citations

4.

Jaschke, Daniel, et al.. (2024). Optimal control transport of neutral atoms in optical tweezers at finite temperature. Physical Review Research. 6(3). 7 indexed citations

5.

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

6.

Müller, Matthias M., et al.. (2024). Role of bases in quantum optimal control. Physical review. A. 110(6). 1 indexed citations

7.

Jaschke, Daniel, et al.. (2022). Error budgeting for a controlled-phase gate with strontium-88 Rydberg atoms. Research Padua Archive (University of Padua). 62 indexed citations

8.

Gherardini, Stefano, Matthias M. Müller, Simone Montangero, Tommaso Calarco, & Filippo Caruso. (2022). Information flow and error scaling for fully quantum control. Physical Review Research. 4(2). 5 indexed citations

9.

Rembold, Phila, Christoph Müller, Jochen Scheuer, et al.. (2022). Macroscopic hyperpolarization enhanced with quantum optimal control. Physical Review Research. 4(4). 13 indexed citations

10.

Koch, Christiane P., Ugo Boscain, Tommaso Calarco, et al.. (2022). Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe. EPJ Quantum Technology. 9(1). 2 indexed citations

11.

Gherardini, Stefano, et al.. (2022). Experimental Realization of Optimal Time‐Reversal on an Atom Chip for Quantum Undo Operations. Advanced Quantum Technologies. 5(12). 2 indexed citations

12.

Ferrari, Giovanni, Giuseppe Magnifico, & Simone Montangero. (2022). Adaptive-weighted tree tensor networks for disordered quantum many-body systems. Physical review. B.. 105(21). 17 indexed citations

13.

Magnifico, Giuseppe, et al.. (2021). Entanglement generation in(1+1)DQED scattering processes. Physical review. D. 104(11). 41 indexed citations

14.

Fusella, M., et al.. (2021). Optimizing radiotherapy plans for cancer treatment with Tensor Networks. Physics in Medicine and Biology. 66(12). 125015–125015. 5 indexed citations

15.

Rall, Patrick, et al.. (2020). Entangled quantum cellular automata, physical complexity, and Goldilocks rules. arXiv (Cornell University). 19 indexed citations

16.

Bañuls, Mari Carmen, R. Blatt, Jacopo Catani, et al.. (2019). Simulating lattice gauge theories within quantum technologies. Apollo (University of Cambridge). 360 indexed citations breakdown →

17.

Omran, Ahmed, Harry Levine, Alexander Keesling, et al.. (2019). Generation and manipulation of Schrödinger cat states in Rydberg atom arrays. Science. 365(6453). 570–574. 412 indexed citations breakdown →

18.

Heck, Robert K., Jens Jakob Sørensen, Mark G. Bason, et al.. (2018). Remote optimization of an ultracold atoms experiment by experts and citizen scientists. Proceedings of the National Academy of Sciences. 115(48). E11231–E11237. 47 indexed citations

19.

Rizzi, Matteo & Simone Montangero. (2007). Quantum Entanglement Renormalization Simulator. arXiv (Cornell University). 1 indexed citations

20.

Chiara, Gabriele De, Rosario Fazio, Chiara Macchiavello, Simone Montangero, & G. Massimo Palma. (2004). Quantum cloning without external control. arXiv (Cornell University). 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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