John Preskill

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 16

Top Topics

Theoretic Framework

Timed Petri Nets

Machine Learning

Minimum Description Length

Top Venues

Publications

Chi-Fang Chen, Hsin-Yuan Huang, John Preskill, Leo Zhou
Local Minima in Quantum Systems. STOC (2024)
Yiyi Cai, Yu Tong, John Preskill
Stochastic Error Cancellation in Analog Quantum Simulation. TQC (2024)
Hsin-Yuan Huang, John Preskill, Mehdi Soleimanifar
Certifying almost all quantum states with few single-qubit measurements. CoRR (2024)
Chi-Fang Chen, Hsin-Yuan Huang, John Preskill, Leo Zhou
Local minima in quantum systems. CoRR (2023)
Laura Lewis, Hsin-Yuan Huang, Viet T. Tran, Sebastian Lehner, Richard Kueng, John Preskill
Improved machine learning algorithm for predicting ground state properties. CoRR (2023)
Hsin-Yuan Huang, Steven T. Flammia, John Preskill
Foundations for learning from noisy quantum experiments. CoRR (2022)
Hsin-Yuan Huang, Sitan Chen, John Preskill
Learning to predict arbitrary quantum processes. CoRR (2022)
Yu Tong, Victor V. Albert, Jarrod R. McClean, John Preskill, Yuan Su
Provably accurate simulation of gauge theories and bosonic systems. Quantum 6 (2022)
Isaac H. Kim, Eugene Tang, John Preskill
The ghost in the radiation: robust encodings of the black hole interior (invited paper). STOC (2021)
Hsin-Yuan Huang, Richard Kueng, John Preskill
Information-theoretic bounds on quantum advantage in machine learning. CoRR (2021)
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 (2021)
Hsin-Yuan Huang, Richard Kueng, John Preskill
Efficient estimation of Pauli observables by derandomization. CoRR (2021)
Yu Tong, Victor V. Albert, Jarrod R. McClean, John Preskill, Yuan Su
Provably accurate simulation of gauge theories and bosonic systems. CoRR (2021)
Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai, Victor V. Albert, John Preskill
Provably efficient machine learning for quantum many-body problems. CoRR (2021)
Hsin-Yuan Huang, Richard Kueng, John Preskill
Predicting Many Properties of a Quantum System from Very Few Measurements. CoRR (2020)
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 (2020)
Stephen P. Jordan, Keith S. M. Lee, John Preskill
Quantum computation of scattering in scalar quantum field theories. Quantum Inf. Comput. 14 (11-12) (2014)
John Napp, John Preskill
Optimal Bacon-Shor codes. Quantum Inf. Comput. 13 (5-6) (2013)
John Preskill
Sufficient condition on noise correlations for scalable quantum computing. Quantum Inf. Comput. 13 (3-4) (2013)
Panos Aliferis, Daniel Gottesman, John Preskill
Accuracy threshold for postselected quantum computation. Quantum Inf. Comput. 8 (3) (2008)
Hoi-Kwong Lo, John Preskill
Security of quantum key distribution using weak coherent states with nonrandom phases. Quantum Inf. Comput. 7 (5) (2007)
Panos Aliferis, Daniel Gottesman, John Preskill
Quantum accuracy threshold for concatenated distance-3 codes. Quantum Inf. Comput. 6 (2) (2006)
Daniel Gottesman, Hoi-Kwong Lo, Norbert Lütkenhaus, John Preskill
Security of quantum key distribution with imperfect devices. ISIT (2004)
Daniel Gottesman, Hoi-Kwong Lo, Norbert Lütkenhaus, John Preskill
Security of quantum key distribution with imperfect devices. Quantum Inf. Comput. 4 (5) (2004)
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) (2001)
R. Walter Ogburn, John Preskill
Topological Quantum Computation. QCQC (1998)