Andrew M. Childs
- Artificial Intelligence top 0.1%
- Atomic and Molecular Physics, and Optics top 0.5%
- Computational Theory and Mathematics top 0.2%
- Electrical and Electronic Engineering top 10%
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Jeffrey GoldstoneEdward FarhiRobin KothariRolando D. SommaJohn PreskillDominic W. BerryYuan SuSam Gutmann
- Topics
- Quantum Computing Algorithms and Architecture (80 papers)Quantum Information and Cryptography (62 papers)Quantum Mechanics and Applications (17 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsAtomic and Molecular Physics, and Optics
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Andrew M. Childs
92 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 5.5k
- Atomic and Molecular Physics, and Optics 3.1k
- Computational Theory and Mathematics 1.7k
- Electrical and Electronic Engineering 329
- Statistical and Nonlinear Physics 281
Countries citing papers authored by Andrew M. Childs
This map shows the geographic impact of Andrew M. Childs'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 Andrew M. Childs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew M. Childs more than expected).
Fields of papers citing papers by Andrew M. Childs
This network shows the impact of papers produced by Andrew M. Childs. 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 Andrew M. Childs. The network helps show where Andrew M. Childs may publish in the future.
Co-authorship network of co-authors of Andrew M. Childs
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew M. Childs. A scholar is included among the top collaborators of Andrew M. Childs 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 Andrew M. Childs. Andrew M. Childs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 63 | |
| 10 | 137 | |
| 11 | Quantum coupon collector | 1 |
| 12 | 26 | |
| 13 | Two-message verification of quantum computation. | 1 |
| 14 | 4 | |
| 15 | 114 | |
| 16 | 9 | |
| 17 | Every NAND formula on N variables can be evaluated in time O(N^{1/2+eps}) | 3 |
| 18 | 12 | |
| 19 | 70 | |
| 20 | Spatial search and the Dirac equation (5 pages) | 3 |
About Andrew M. Childs
Andrew M. Childs is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computational Mathematics, having authored 95 papers that have together received 6.1k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (80 papers), Quantum Information and Cryptography (62 papers) and Quantum Mechanics and Applications (17 papers). The work is most often cited by research in Artificial Intelligence (5.5k citations), Computational Theory and Mathematics (1.7k citations) and Atomic and Molecular Physics, and Optics (3.1k citations). Andrew M. Childs has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Jeffrey Goldstone, Edward Farhi, Robin Kothari, Rolando D. Somma, John Preskill, Dominic W. Berry, Yuan Su, Sam Gutmann, Debbie Leung and Nathan Wiebe. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.