Poulin, D. (2010). Quantum Metropolis Sampling: An algorithm to simulate thermal systems with a quantum computer. Perimeter Institute. https://pirsa.org/10030113

MLA

Poulin, David. Quantum Metropolis Sampling: An algorithm to simulate thermal systems with a quantum computer. Perimeter Institute, Mar. 22, 2010, https://pirsa.org/10030113

BibTex

@misc{ pirsa_10030113,
doi = {},
url = {https://pirsa.org/10030113},
author = {Poulin, David},
keywords = {Quantum Foundations},
language = {en},
title = {Quantum Metropolis Sampling: An algorithm to simulate thermal systems with a quantum computer},
publisher = {Perimeter Institute},
year = {2010},
month = {mar},
note = {PIRSA:10030113 see, \url{https://pirsa.org}}
}

The original motivation to build a quantum computer came from Feynman who envisaged a machine capable of simulating generic quantum mechanical systems, a task that is intractable for classical computers. Such a machine would have tremendous applications in all physical sciences, including condensed matter physics, chemistry, and high energy physics. Part of Feynman's challenge was met by Lloyd who showed how to approximately decompose the time-evolution operator of interacting quantum particles into a short sequence of elementary gates, suitable for operation on a quantum computer. However, this left open the more fundamental problem of how to simulate the equilibrium and static properties of quantum systems. This requires the preparation of ground and Gibb's states on a quantum computer. For classical systems, this problem is solved by the ubiquitous Metropolis algorithm, a method that basically acquired a monopoly for the simulation of interacting particles. In this talk, I will demonstrate that the corresponding quantum problem can be solved by a quantum Metropolis algorithm. This validates the quantum computer as a universal simulator, and proves that the so-called sign problem occurring in quantum Monte Carlo methods can be resolved with a quantum computer.