Author(s): Zhenyu Cai, Ryan Babbush, Simon C. Benjamin, Suguru Endo, William J. Huggins, Ying Li, Jarrod R. McClean, and Thomas E. O’Brien In most of physics it is normal to obtain information by analysis of noisy data. The paradigm of quantum computing has been a simplified version of this – one measurement of a two-level system gives one bit of reliable information about the result of a computation. But real-world quantum computers do not work this way: the noisiness of quantum evolution also requires good strategies for extracting information. This review covers many error-mitigation strategies used in present-day quantum processors. These strategies make it much more feasible to obtain useful results before fault tolerance is achieved. [Rev. Mod. Phys. 95, 045005] Published Wed Dec 13,…
Author(s): Zhenyu Cai, Ryan Babbush, Simon C. Benjamin, Suguru Endo, William J. Huggins, Ying Li, Jarrod R. McClean, and Thomas E. O’Brien In most of physics it is normal to obtain information by analysis of noisy data. The paradigm of quantum computing has been a simplified version of this – one measurement of a two-level system gives one bit of reliable information about the result of a computation. But real-world quantum computers do not work this way: the noisiness of quantum evolution also requires good strategies for extracting information. This review covers many error-mitigation strategies used in present-day quantum processors. These strategies make it much more feasible to obtain useful results before fault tolerance is achieved. [Rev. Mod. Phys. 95, 045005] Published Wed Dec 13, 2023