Predictive complexity of quantum subsystems
arXiv:2309.15200 · doi:10.3390/e26121065
Abstract
We define predictive states and predictive complexity for quantum systems composed of distinct subsystems. This complexity is a generalization of entanglement entropy. It is inspired by the statistical or forecasting complexity of predictive state analysis of stochastic and complex systems theory, but is intrinsically quantum. Predictive states of a subsystem are formed by equivalence classes of state vectors in the exterior Hilbert space that effectively predict the same future behavior of that subsystem for some time. As an illustrative example, we present calculations in the dynamics of an isotropic Heisenberg model spin chain and show that, in comparison to the entanglement entropy, the predictive complexity better signifies dynamically important events, such as magnon collisions. It can also serve as a local order parameter that can distinguish long and short range entanglement.
arXiv comment18 pages, 3 figures. v2: formatting and typos fixed. v3: some figures now in color, acknowledgements updated, grant info added, some reformatting, and references added. v4: Fixed errors and added more substantial analysis of linearity properties of predictive equivalence; additional references added. Submitted for publication
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