Taichi Nakamura

Quantum self-learning Monte Carlo and quantum-inspired Fourier transform sampler

2020 · Physical Review Research

The self-learning Metropolis-Hastings algorithm is a powerful Monte Carlo method that, with the help of machine learning, adaptively generates an easy-to-sample probability distribution for approximating a given hard-to-sample distribution. This paper provides a new self-learning …