5 papers
Quantum generalizations of Glauber and Metropolis dynamics
András Gilyén, Chi-Fang Chen, Joao F. Doriguello +1
Classical Markov Chain Monte Carlo methods have been essential for simulating statistical physical systems and have proven well applicable to other systems with many degrees of fre…
An efficient and exact noncommutative quantum Gibbs sampler
Chi-Fang Chen, Michael J. Kastoryano, András Gilyén
Preparing thermal and ground states is an essential quantum algorithmic task for quantum simulation. In this work, we construct the first efficiently implementable and exactly deta…
Variational Tensor Network Simulation of Gaussian Boson Sampling and Beyond
Jonas Vinther, Michael James Kastoryano
The continuous variable quantum computing platform constitutes a promising candidate for realizing quantum advantage, as exemplified in Gaussian Boson Sampling. While noise in the…
Quantum algorithms: A survey of applications and end-to-end complexities
Alexander M. Dalzell, Sam McArdle, Mario Berta +10
The anticipated applications of quantum computers span across science and industry, ranging from quantum chemistry and many-body physics to optimization, finance, and machine learn…
A little bit of self-correction
Michael J. Kastoryano, Lasse B. Kristensen, Chi-Fang Chen +1
We investigate the emergence of stable subspaces in the low-temperature quantum thermal dynamics of finite spin chains. Our analysis reveals the existence of effective decoherence-…