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Sampling scheme for neuromorphic simulation of entangled quantum systems

Sampling scheme for neuromorphic simulation of entangled quantum systems

Neural networks can be used to represent a large class of quantum many-body states in a classical-statistical manner. This includes entangled states such as the paradigmatic Bell states or a quantum Ising chain near its critical point. The task of sampling from these states may be performed efficiently by physically …