Author(s): T. H. Johnson, T. J. Elliott, S. R. Clark, and D. Jaksch Estimating the expected value of an observable appearing in a nonequilibrium stochastic process usually involves sampling. If the observable’s variance is high, many samples are required. In contrast, we show that performing the same task without sampling, using tensor network compression, efficient... [Phys. Rev. Lett. 114, 090602] Published Thu Mar 05, 2015
General Physics: Statistical and Quantum Mechanics, Quantum Information, etc.