Rolando D. Somma

55 papers receiving 2.9k citations

Hit Papers

Simulating Hamiltonian Dynamics with a Truncated Taylor S...2010202620152020201520102017100200300400

Peers

Rolando D. Somma
Comparison fields: 5 of 75
  • Artificial Intelligence 2.5k
  • Atomic and Molecular Physics, and Optics 1.9k
  • Computational Theory and Mathematics 370
  • Statistical and Nonlinear Physics 225
  • Condensed Matter Physics 149
Replace David Poulin with:
David Poulin Canada
Norbert M. Linke United States
Antonio Mezzacapo United States
Bei Zeng China
Man‐Hong Yung China
Łukasz Cincio United States
Dan E. Browne United Kingdom
Markus Müller Germany
Joseph Emerson Canada
Daniel Nigg Austria
Rolando D. Somma relative to David Poulin Canada David Poulin's profile →
Citations per field
00.5×1.5×1.8×
David Poulin · 1×
Citations per year

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
#WorkIndexed citations
1 5
2 24
3 1
4 109
5
Quantum algorithms for linear systems of equations inspired by adiabatic quantum computing
1
6
Quantum linear systems algorithm with exponentially improved dependence on precision
10
7 15
8
Simulating Hamiltonian Dynamics with a Truncated Taylor Seriesbreakdown →
426
9
Quantum linear systems algorithm with exponentially improved dependence on precision
16
10 8
11 13
12 12
13
Efficient quantum state tomographybreakdown →
420
14 53
15 18
16 189
17
Quantum Simulations of Physics Problems
13
18
Non-Zoomorphic Walking Machines for Planetary Exploration and Exploitation
1
19
ALGEN - A Walking Robotic Rover for Planetary Exploration
3
20
The radar altimeter for ERS-1 Satellite
2

About Rolando D. Somma

Rolando D. Somma is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Hardware and Architecture, having authored 56 papers that have together received 3.0k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (39 papers), Quantum Information and Cryptography (36 papers) and Quantum many-body systems (14 papers). The work is most often cited by research in Artificial Intelligence (2.5k citations), Atomic and Molecular Physics, and Optics (1.9k citations) and Computational Theory and Mathematics (370 citations). Rolando D. Somma has collaborated with scholars based in United States, Canada and Australia. Frequent 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. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical review. B, Condensed matter.

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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