Earl T. Campbell

33 papers receiving 1.2k citations

Hit Papers

Building a Fault-Tolerant Quantum Computer Using Concaten...20222026202320242022202350100150

Peers

Earl T. Campbell
Comparison fields: 5 of 47
  • Artificial Intelligence 1.2k
  • Atomic and Molecular Physics, and Optics 783
  • Computational Theory and Mathematics 235
  • Electrical and Electronic Engineering 134
  • Statistical and Nonlinear Physics 42
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Craig Gidney United States
Nathan Wiebe United States
Sarah Sheldon United States
Robin Kothari United States
Dave Wecker United States
William J. Huggins United States
Earl T. Campbell United Kingdom
Shantanu Debnath United States
Jakob S. Kottmann Germany
Kishor Bharti Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Earl T. Campbell

Since Specialization
Citations

This map shows the geographic impact of Earl T. Campbell'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 Earl T. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Earl T. Campbell more than expected).

Fields of papers citing papers by Earl T. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Earl T. Campbell. 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 Earl T. Campbell. The network helps show where Earl T. Campbell may publish in the future.

Co-authorship network of co-authors of Earl T. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Earl T. Campbell. A scholar is included among the top collaborators of Earl T. Campbell 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 Earl T. Campbell. Earl T. Campbell 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 9
2 0
3 6
4 19
5 15
6 44
7
Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistrybreakdown →
143
8 24
9 34
10 2
11 58
12 82
13 110
14
Efficient quantum measurement of Pauli operators
4
15 193
16 45
17 9
18 113
19 18
20
Efficient growth of complex graph states via imperfect path erasure
6

About Earl T. Campbell

Earl T. Campbell is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (31 papers), Quantum Information and Cryptography (31 papers) and Quantum and electron transport phenomena (14 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Atomic and Molecular Physics, and Optics (783 citations) and Computational Theory and Mathematics (235 citations). Earl T. Campbell has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Simon C. Benjamin, Yingkai Ouyang, Ophelia Crawford, Steven T. Flammia, Thomas C. Bohdanowicz, John Preskill, Stephen Brierley, Christopher Chamberland, Daochen Wang and Mario Berta. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical Review A.

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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