John P. Preskill
Affiliations: | 1983- | California Institute of Technology, Pasadena, CA |
Area:
quantum computing, quantum matter, and quantum gravityWebsite:
http://www.theory.caltech.edu/~preskill/Google:
"John Phillip Preskill"Bio:
http://www.nasonline.org/member-directory/members/2518645.html
http://inspirehep.net/record/992791?ln=en
https://www.pma.caltech.edu/content/john-p-preskill
Mean distance: 11.76 | S | N | B | C | P |
Parents
Sign in to add mentorSteven Weinberg | grad student | 1980 | Harvard | |
(Unified gauge theories without elementary scalar fields) |
Children
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Publications
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Lee S, Lee J, Zhai H, et al. (2023) Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry. Nature Communications. 14: 1952 |
Huang HY, Kueng R, Torlai G, et al. (2022) Provably efficient machine learning for quantum many-body problems. Science (New York, N.Y.). 377: eabk3333 |
Huang HY, Broughton M, Cotler J, et al. (2022) Quantum advantage in learning from experiments. Science (New York, N.Y.). 376: 1182-1186 |
Huang HY, Kueng R, Preskill J. (2021) Information-Theoretic Bounds on Quantum Advantage in Machine Learning. Physical Review Letters. 126: 190505 |
Albert VV, Covey JP, Preskill J. (2020) Robust encoding of a qubit in a molecule Physical Review X. 10 |
Iverson JK, Preskill J. (2020) Coherence in logical quantum channels New Journal of Physics. 22: 73066 |
Zhuang Q, Preskill J, Jiang L. (2020) Distributed quantum sensing enhanced by continuous-variable error correction New Journal of Physics. 22: 022001 |
Huang H, Kueng R, Preskill J. (2020) Predicting many properties of a quantum system from very few measurements Nature Physics. 1-8 |
Kim IH, Tang E, Preskill J. (2020) The ghost in the radiation: Robust encodings of the black hole interior Journal of High Energy Physics. 2020: 1-65 |
Kubica A, Preskill J. (2019) Cellular-Automaton Decoders with Provable Thresholds for Topological Codes. Physical Review Letters. 123: 20501-20501 |