Isaac L. Chuang

56.1k citations
213 papers · 35.0k indexed · 10 hit papers · h-index 57

Isaac L. Chuang

205 papers receiving 33.4k citations

Hit Papers

Optimal Hamiltonian ...43819912026200220144.0k8.0k12.0k

Peers

Isaac L. Chuang
Comparison fields: 5 of 169
  • Artificial Intelligence 27.4k
  • Atomic and Molecular Physics, and Optics 23.8k
  • Computational Theory and Mathematics 4.2k
  • Statistical and Nonlinear Physics 2.4k
  • Acoustics and Ultrasonics 173
Replace Michael A. Nielsen with:
Michael A. Nielsen Australia
Alán Aspuru‐Guzik United States
Richard P. Feynman United States
Seth Lloyd United States
Lov K. Grover United States
Charles H. Bennett United States
David P. DiVincenzo United States
Peter W. Shor United States
C. Monroe United States
Gilles Brassard Canada
Isaac L. Chuang relative to Michael A. Nielsen Australia Michael A. Nielsen's profile →
Citations per field
00.5×1.5×2.3×
Michael A. Nielsen · 1×
Citations per year

Countries citing papers authored by Isaac L. Chuang

Since Specialization
Citations

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

Fields of papers citing papers by Isaac L. Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isaac L. Chuang. 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 Isaac L. Chuang. The network helps show where Isaac L. Chuang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Isaac L. Chuang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Isaac L. Chuang Line = papers co-authored together Isaac L. Chuang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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Quantum simulation of molecular vibronic spectra on a superconducting bosonic processor
20192
18
Who does what in a massive open online course
20143
19
Tensor product representation of a topological ordered phase: Necessary symmetry conditions
20106
20
Arbitrarily accurate composite pulse sequences (4 pages)
20043

About Isaac L. Chuang

Isaac L. Chuang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Science Applications, having authored 213 papers that have together received 35.0k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (136 papers), Quantum Computing Algorithms and Architecture (112 papers), Quantum Mechanics and Applications (42 papers), Quantum and electron transport phenomena (34 papers), Cold Atom Physics and Bose-Einstein Condensates (33 papers), Quantum-Dot Cellular Automata (23 papers), Online Learning and Analytics (18 papers) and Quantum optics and atomic interactions (18 papers). The work is most often cited by research in Artificial Intelligence (27.4k citations), Atomic and Molecular Physics, and Optics (23.8k citations) and Computational Theory and Mathematics (4.2k citations). Isaac L. Chuang has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Michael A. Nielsen, Lov K. Grover, Neil Gershenfeld, Lieven M. K. Vandersypen, Daniel Gottesman, K. Birgitta Whaley, Daniel A. Lidar, Debbie Leung, Y. Yamamoto and Guang Hao Low. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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