Rolando D. Somma

6.2k total citations · 3 hit papers
56 papers, 3.0k citations indexed

About

Rolando D. Somma is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, Rolando D. Somma has authored 56 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 34 papers in Atomic and Molecular Physics, and Optics and 5 papers in Condensed Matter Physics. Recurrent topics in Rolando D. Somma's work include Quantum Computing Algorithms and Architecture (39 papers), Quantum Information and Cryptography (36 papers) and Quantum many-body systems (14 papers). Rolando D. Somma is often cited by papers focused on Quantum Computing Algorithms and Architecture (39 papers), Quantum Information and Cryptography (36 papers) and Quantum many-body systems (14 papers). Rolando D. Somma collaborates with scholars based in United States, Canada and Australia. Rolando D. Somma's co-authors include Gerardo Ortíz, Robin Kothari, Andrew M. Childs, Emanuel Knill, Dominic W. Berry, Richard Cleve, David Poulin, Howard Barnum, Lorenza Viola and J. E. Gubernatis and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical review. B, Condensed matter.

In The Last Decade

Rolando D. Somma

55 papers receiving 2.9k citations

Hit Papers

Simulating Hamiltonian Dynamics with a Truncated Taylor S... 2010 2026 2015 2020 2015 2010 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rolando D. Somma United States 24 2.5k 1.9k 370 225 149 56 3.0k
David Poulin Canada 34 3.4k 1.3× 2.5k 1.3× 672 1.8× 359 1.6× 205 1.4× 80 4.0k
Colm A. Ryan United States 27 1.9k 0.8× 1.9k 1.0× 202 0.5× 171 0.8× 59 0.4× 40 2.7k
Łukasz Cincio United States 29 2.5k 1.0× 1.8k 0.9× 425 1.1× 216 1.0× 438 2.9× 72 3.4k
Norbert M. Linke United States 26 2.9k 1.2× 2.8k 1.5× 285 0.8× 257 1.1× 117 0.8× 63 3.8k
Daniel Nigg Austria 12 2.7k 1.1× 2.9k 1.5× 153 0.4× 326 1.4× 203 1.4× 19 3.5k
Bei Zeng China 26 1.8k 0.7× 1.9k 1.0× 234 0.6× 279 1.2× 176 1.2× 108 2.4k
Antonio Mezzacapo United States 25 3.6k 1.4× 2.8k 1.4× 531 1.4× 130 0.6× 156 1.0× 41 4.2k
Markus Müller Germany 27 2.6k 1.0× 3.5k 1.8× 195 0.5× 407 1.8× 323 2.2× 105 4.4k
Lucas Lamata Spain 37 3.1k 1.2× 3.4k 1.7× 179 0.5× 353 1.6× 140 0.9× 119 4.3k
Patrick J. Coles United States 36 4.5k 1.8× 2.6k 1.4× 604 1.6× 414 1.8× 34 0.2× 84 5.0k

Countries citing papers authored by Rolando D. Somma

Since Specialization
Citations

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

Fields of papers citing papers by Rolando D. Somma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rolando D. Somma. 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 Rolando D. Somma. The network helps show where Rolando D. Somma may publish in the future.

Co-authorship network of co-authors of Rolando D. Somma

This figure shows the co-authorship network connecting the top 25 collaborators of Rolando D. Somma. A scholar is included among the top collaborators of Rolando D. Somma 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 Rolando D. Somma. Rolando D. Somma 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.
Babbush, Ryan, Dominic W. Berry, Robin Kothari, Rolando D. Somma, & Nathan Wiebe. (2023). Exponential Quantum Speedup in Simulating Coupled Classical Oscillators. Physical Review X. 13(4). 24 indexed citations
2.
Babbush, Ryan, Dominic W. Berry, Robin Kothari, Rolando D. Somma, & Nathan Wiebe. (2023). Exponential quantum speedup in simulating coupled classical oscillators*. 405–414. 3 indexed citations
3.
Subaşı, Yiğit, et al.. (2019). Quantum Algorithms for Systems of Linear Equations Inspired by Adiabatic Quantum Computing. Physical Review Letters. 122(6). 60504–60504. 109 indexed citations
4.
Subaşı, Yiğit, et al.. (2018). Quantum algorithms for linear systems of equations inspired by adiabatic quantum computing. arXiv (Cornell University). 1 indexed citations
5.
Somma, Rolando D.. (2016). Quantum simulations of one dimensional quantum systems. Quantum Information and Computation. 16(13). 1125–1168. 15 indexed citations
6.
Somma, Rolando D., Andrew M. Childs, & Robin Kothari. (2016). Quantum linear systems algorithm with exponentially improved dependence on precision. Bulletin of the American Physical Society. 2016. 10 indexed citations
7.
Somma, Rolando D.. (2016). A Trotter-Suzuki approximation for Lie groups with applications to Hamiltonian simulation. Journal of Mathematical Physics. 57(6). 14 indexed citations
8.
Childs, Andrew M., Robin Kothari, & Rolando D. Somma. (2015). Quantum linear systems algorithm with exponentially improved dependence on precision. arXiv (Cornell University). 16 indexed citations
9.
Chiang, Hao-Tien Lewis, et al.. (2014). Improved bounds for eigenpath traversal. Physical Review A. 89(1). 8 indexed citations
10.
Hughes, Richard, J. E. Nordholt, Kevin McCabe, et al.. (2013). Network-Centric Quantum Communications. FW2C.1–FW2C.1. 13 indexed citations
11.
Cramer, M., Martin B. Plenio, Steven T. Flammia, et al.. (2010). Efficient quantum state tomography. Nature Communications. 1(1). 149–149. 420 indexed citations breakdown →
12.
Somma, Rolando D., Cristian D. Batista, & Gerardo Ortíz. (2007). Quantum Approach to Classical Statistical Mechanics. Physical Review Letters. 99(3). 30603–30603. 53 indexed citations
13.
Knill, Emanuel, Gerardo Ortíz, & Rolando D. Somma. (2007). Optimal quantum measurements of expectation values of observables. Physical Review A. 75(1). 133 indexed citations
14.
Somma, Rolando D., John Chiaverini, & D. J. Berkeland. (2006). Lower bounds for the fidelity of entangled-state preparation. Physical Review A. 74(5). 17 indexed citations
15.
Somma, Rolando D., Howard Barnum, Gerardo Ortíz, & Emanuel Knill. (2006). Efficient Solvability of Hamiltonians and Limits on the Power of Some Quantum Computational Models. Physical Review Letters. 97(19). 190501–190501. 18 indexed citations
16.
Barnum, Howard, Emanuel Knill, Gerardo Ortíz, Rolando D. Somma, & Lorenza Viola. (2004). A Subsystem-Independent Generalization of Entanglement. Physical Review Letters. 92(10). 107902–107902. 189 indexed citations
17.
Somma, Rolando D., Gerardo Ortíz, Emanuel Knill, & J. E. Gubernatis. (2003). Quantum Simulations of Physics Problems. 13 indexed citations
18.
Genta, Giancarlo & Rolando D. Somma. (2002). Non-Zoomorphic Walking Machines for Planetary Exploration and Exploitation. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations
19.
Corso, Dante Del, et al.. (1997). ALGEN - A Walking Robotic Rover for Planetary Exploration. PORTO Publications Open Repository TOrino (Politecnico di Torino). 3 indexed citations
20.
Somma, Rolando D., et al.. (1983). The radar altimeter for ERS-1 Satellite. 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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