Aram W. Harrow

76 papers receiving 5.9k citations

Hit Papers

Quantum Algorithm for Linear Systems of Equations200920262014202020092019201750010001.5k

Peers

Aram W. Harrow
Comparison fields: 5 of 111
  • Artificial Intelligence 5.4k
  • Atomic and Molecular Physics, and Optics 2.8k
  • Computational Theory and Mathematics 1.2k
  • Electrical and Electronic Engineering 561
  • Statistical and Nonlinear Physics 297
Replace Sergey Bravyi with:
Sergey Bravyi United States
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Aram W. Harrow relative to Sergey Bravyi United States Sergey Bravyi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aram W. Harrow

Since Specialization
Citations

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

Fields of papers citing papers by Aram W. Harrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aram W. Harrow. 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 Aram W. Harrow. The network helps show where Aram W. Harrow may publish in the future.

Co-authorship network of co-authors of Aram W. Harrow

This figure shows the co-authorship network connecting the top 25 collaborators of Aram W. Harrow. A scholar is included among the top collaborators of Aram W. Harrow 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 Aram W. Harrow. Aram W. Harrow 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 52
2
Supervised learning with quantum-enhanced feature spacesbreakdown →
1224
3
Quantum computational supremacybreakdown →
460
4
Lower bound on expected communication cost of quantum Huffman coding
0
5
Local Hamiltonians with No Low-energy Trivial States
1
6 45
7 14
8
An efficient test for product states
4
9
Proc. 51st Annual Symp. Foundations of Computer Science
3
10 7
11 13
12 1
13 13
14 36
15 98
16
Arbitrarily accurate composite pulse sequences (4 pages)
3
17 116
18 66
19 25
20 171

About Aram W. Harrow

Aram W. Harrow is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics, having authored 79 papers that have together received 6.1k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (65 papers), Quantum Information and Cryptography (54 papers) and Quantum Mechanics and Applications (34 papers). The work is most often cited by research in Artificial Intelligence (5.4k citations), Atomic and Molecular Physics, and Optics (2.8k citations) and Computational Theory and Mathematics (1.2k citations). Aram W. Harrow has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Avinatan Hassidim, Seth Lloyd, Ashley Montanaro, Jerry M. Chow, Abhinav Kandala, Jay Gambetta, Antonio Córcoles, Kristan Temme, Vojtěch Havlíček and Isaac L. Chuang. Their work appears in journals such as Nature, Physical Review Letters and IEEE Transactions on Information Theory.

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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