Information Geometric Aspects of Probability Paths with Minimum Entropy Production for Quantum State Evolution
Steven Gassner, Carlo Cafaro, Sean A. Ali, Paul M. Alsing

TL;DR
This paper uses information geometry to analyze quantum state evolution, showing that optimal, shortest paths minimize entropy production and that faster transfers increase entropy rate, revealing a trade-off in quantum information processes.
Contribution
It introduces an information geometric framework for analyzing quantum state transfer paths, linking minimal entropy production with geodesic paths in parameter space.
Findings
Optimal paths are geodesics minimizing entropy production.
Faster quantum state transfer correlates with higher entropy production rate.
Higher entropic speed implies lower entropic efficiency in quantum transfers.
Abstract
We present an information geometric analysis of both entropic speeds and entropy production rates arising from geodesic evolution on manifolds parametrized by pure quantum states. In particular, we employ pure states that emerge as outputs of suitably chosen su(2; C) time-dependent Hamiltonian operators that characterize analog quantum search algorithms of specific types. The su(2; C) Hamiltonian models under consideration are specified by external time-dependent magnetic fields within which spin-1/2 test particles are immersed. The positive definite Riemannian metrization of the parameter manifold is furnished by the Fisher information function. The Fisher information function is evaluated along parametrized squared probability amplitudes obtained from the temporal evolution of these spin-1/2 test particles. A minimum action approach is then utilized to induce the transfer of the…
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