Preskill, John P.

Monograph from CaltechAUTHORS

• Tong, Yu and Albert, Victor V., et el. (2022) Provably accurate simulation of gauge theories and bosonic systems; 10.48550/arXiv.2110.06942
• Huang, Hsin-Yuan and Kueng, Richard, et el. (2022) Provably efficient machine learning for quantum many-body problems; 10.48550/arXiv.2106.12627
• Albert, Victor V. and Aasen, David, et el. (2021) Spin chains, defects, and quantum wires for the quantum-double edge; 10.48550/arXiv.2111.12096
• Preskill, John (2021) Quantum computing 40 years later; 10.48550/arXiv.2106.10522
• Barry, Peter and Berggren, Karl, et el. (2021) Opportunities for DOE National Laboratory-led QuantISED Experiments; 10.48550/arXiv.2102.10996
• Brandão, Fernando G. S. L. and Chemissany, Wissam, et el. (2021) Models of quantum complexity growth; 10.48550/arXiv.1912.04297
• Preskill, John (2016) Quantum Shannon Theory; 10.48550/arXiv.1604.07450
• Jordan, Stephen P. and Lee, Keith S. M., et el. (2014) Quantum Algorithms for Fermionic Quantum Field Theories; 10.48550/arXiv.1404.7115
• Preskill, John (1992) Do Black Holes Destroy Information?; 10.48550/arXiv.9209058