Hidden Quantum Markov Models and non-adaptive read-out of many-body states

Autor: Monras, Alex, Beige, Almut, Wiesner, Karoline
Rok vydání: 2010
Předmět:
Zdroj: Applied Mathematical and Computational Sciences 3, 93 (2011)
Druh dokumentu: Working Paper
Popis: Stochastic finite-state generators are compressed descriptions of infinite time series. Alternatively, compressed descriptions are given by quantum finite- state generators [K. Wiesner and J. P. Crutchfield, Physica D 237, 1173 (2008)]. These are based on repeated von Neumann measurements on a quantum dynamical system. Here we generalise the quantum finite-state generators by replacing the von Neumann pro jections by stochastic quantum operations. In this way we assure that any time series with a stochastic compressed description has a compressed quantum description. Moreover, we establish a link between our stochastic generators and the sequential readout of many-body states with translationally-invariant matrix product state representations. As an example, we consider the non-adaptive read-out of 1D cluster states. This is shown to be equivalent to a Hidden Quantum Model with two internal states, providing insight on the inherent complexity of the process. Finally, it is proven by example that the quantum description can have a higher degree of compression than the classical stochastic one.
Comment: 22 pages, 5 figures
Databáze: arXiv