Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines

12 Dec 2017Song ChengJing ChenLei Wang

We compare and contrast the statistical physics and quantum physics inspired approaches for unsupervised generative modeling of classical data. The two approaches represent probabilities of observed data using energy-based models and quantum states respectively.Classical and quantum information patterns of the target datasets therefore provide principled guidelines for structural design and learning in these two approaches... (read more)

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