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John Preskill
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- affiliation: California Institute of Technology, Pasadena, CA, USA
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2020 – today
- 2024
- [c6]Hsin-Yuan Huang, John Preskill, Mehdi Soleimanifar:
Certifying Almost All Quantum States with Few Single-Qubit Measurements. FOCS 2024: 1202-1206 - [c5]Chi-Fang Chen, Hsin-Yuan Huang, John Preskill, Leo Zhou:
Local Minima in Quantum Systems. STOC 2024: 1323-1330 - [c4]Yiyi Cai, Yu Tong, John Preskill:
Stochastic Error Cancellation in Analog Quantum Simulation. TQC 2024: 2:1-2:15 - [i15]Hsin-Yuan Huang, John Preskill, Mehdi Soleimanifar:
Certifying almost all quantum states with few single-qubit measurements. CoRR abs/2404.07281 (2024) - [i14]Jerry Huang, Laura Lewis, Hsin-Yuan Huang, John Preskill:
Predicting adaptively chosen observables in quantum systems. CoRR abs/2410.15501 (2024) - [i13]Muzhou Ma, Steven T. Flammia, John Preskill, Yu Tong:
Learning k-body Hamiltonians via compressed sensing. CoRR abs/2410.18928 (2024) - [i12]Tai-Hsuan Yang, Mehdi Soleimanifar, Thiago Bergamaschi, John Preskill:
When can classical neural networks represent quantum states? CoRR abs/2410.23152 (2024) - 2023
- [i11]Laura Lewis, Hsin-Yuan Huang, Viet T. Tran, Sebastian Lehner, Richard Kueng, John Preskill:
Improved machine learning algorithm for predicting ground state properties. CoRR abs/2301.13169 (2023) - [i10]Chi-Fang Chen, Hsin-Yuan Huang, John Preskill, Leo Zhou:
Local minima in quantum systems. CoRR abs/2309.16596 (2023) - 2022
- [j9]Yu Tong, Victor V. Albert, Jarrod R. McClean, John Preskill, Yuan Su:
Provably accurate simulation of gauge theories and bosonic systems. Quantum 6: 816 (2022) - [i9]Hsin-Yuan Huang, Steven T. Flammia, John Preskill:
Foundations for learning from noisy quantum experiments. CoRR abs/2204.13691 (2022) - [i8]Hsin-Yuan Huang, Sitan Chen, John Preskill:
Learning to predict arbitrary quantum processes. CoRR abs/2210.14894 (2022) - 2021
- [c3]Isaac H. Kim, Eugene Tang, John Preskill:
The ghost in the radiation: robust encodings of the black hole interior (invited paper). STOC 2021: 8 - [i7]Hsin-Yuan Huang, Richard Kueng, John Preskill:
Information-theoretic bounds on quantum advantage in machine learning. CoRR abs/2101.02464 (2021) - [i6]Hsin-Yuan Huang, Richard Kueng, John Preskill:
Efficient estimation of Pauli observables by derandomization. CoRR abs/2103.07510 (2021) - [i5]Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai, Victor V. Albert, John Preskill:
Provably efficient machine learning for quantum many-body problems. CoRR abs/2106.12627 (2021) - [i4]Yu Tong, Victor V. Albert, Jarrod R. McClean, John Preskill, Yuan Su:
Provably accurate simulation of gauge theories and bosonic systems. CoRR abs/2110.06942 (2021) - [i3]Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean:
Quantum advantage in learning from experiments. CoRR abs/2112.00778 (2021) - 2020
- [i2]Hsin-Yuan Huang, Richard Kueng, John Preskill:
Predicting Many Properties of a Quantum System from Very Few Measurements. CoRR abs/2002.08953 (2020) - [i1]Andreas Elben, Richard Kueng, Hsin-Yuan Huang, Rick van Bijnen, Christian Kokail, Marcello Dalmonte, Pasquale Calabrese, Barbara Kraus, John Preskill, Peter Zoller, Benoît Vermersch:
Mixed-state entanglement from local randomized measurements. CoRR abs/2007.06305 (2020)
2010 – 2019
- 2014
- [j8]Stephen P. Jordan, Keith S. M. Lee, John Preskill:
Quantum computation of scattering in scalar quantum field theories. Quantum Inf. Comput. 14(11-12): 1014-1080 (2014) - 2013
- [j7]John Preskill:
Sufficient condition on noise correlations for scalable quantum computing. Quantum Inf. Comput. 13(3-4): 181-194 (2013) - [j6]John Napp, John Preskill:
Optimal Bacon-Shor codes. Quantum Inf. Comput. 13(5-6): 490-510 (2013)
2000 – 2009
- 2008
- [j5]Panos Aliferis, Daniel Gottesman, John Preskill:
Accuracy threshold for postselected quantum computation. Quantum Inf. Comput. 8(3): 181-244 (2008) - 2007
- [j4]Hoi-Kwong Lo, John Preskill:
Security of quantum key distribution using weak coherent states with nonrandom phases. Quantum Inf. Comput. 7(5): 431-458 (2007) - 2006
- [j3]Panos Aliferis, Daniel Gottesman, John Preskill:
Quantum accuracy threshold for concatenated distance-3 codes. Quantum Inf. Comput. 6(2): 97-165 (2006) - 2004
- [j2]Daniel Gottesman, Hoi-Kwong Lo, Norbert Lütkenhaus, John Preskill:
Security of quantum key distribution with imperfect devices. Quantum Inf. Comput. 4(5): 325-360 (2004) - [c2]Daniel Gottesman, Hoi-Kwong Lo, Norbert Lütkenhaus, John Preskill:
Security of quantum key distribution with imperfect devices. ISIT 2004: 136 - 2001
- [j1]Hideo Mabuchi, M. Armen, B. Lev, Marko Loncar, Jelena Vuckovic, H. Jeff Kimble, John Preskill, Michael L. Roukes, Axel Scherer, Steven J. van Enk:
Quantum networks based on cavity QED. Quantum Inf. Comput. 1(4): 7-12 (2001)
1990 – 1999
- 1998
- [c1]R. Walter Ogburn, John Preskill:
Topological Quantum Computation. QCQC 1998: 341-356
Coauthor Index
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