Differentiable Learning of Quantum Circuit Born Machine

11 Apr 2018Jin-Guo LiuLei Wang

Quantum circuit Born machines are generative models which represent the probability distribution of classical dataset as quantum pure states. Computational complexity considerations of the quantum sampling problem suggest that the quantum circuits exhibit stronger expressibility compared to classical neural networks... (read more)

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