Computational advantage of quantum random sampling
Dominik Hangleiter, Jens Eisert
Abstract
Quantum computers have improved and recent experiments have claimed quantum advantage -- completion of a computational task that is evidently hard for any conventional computer. The problem solved is that of obtaining samples, by quantum measurement, from a certain probability distribution. This review shows in what precise way quantum random sampling can be seen as a computation. It explains what that computation solves, in what way it outperforms classical computations, and what methods of verification are available. Quantum random sampling becomes a first test of the presumed exponential computational advantage of quantum computers over classical ones.
Topics & Concepts
PhysicsStatistical physicsSampling (signal processing)QuantumQuantum mechanicsOpticsDetectorQuantum Information and CryptographyQuantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications