Programmable Quantum Annealers as Noisy Gibbs Samplers
Marc Vuffray, Carleton Coffrin, Yaroslav A. Kharkov, Andrey Y. Lokhov
Abstract
Physical realizations of quantum annealers behave as samplers from Gibbs distributions with parameters that fluctuate due to noise, leading to spurious interactions between qubits in the output distributions.
Topics & Concepts
QuantumComputer scienceStatistical physicsPhysicsQuantum mechanicsQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyNeural Networks and Reservoir Computing