Information geometry aspects of minimum entropy production paths from quantum mechanical evolutions

Carlo Cafaro and Paul M. Alsing
Phys. Rev. E 101, 022110 – Published 10 February 2020

Abstract

We present an information geometric analysis of entropic speeds and entropy production rates in geodesic evolution on manifolds of parametrized quantum states. These pure states emerge as outputs of suitable su2;C time-dependent Hamiltonian operators used to describe distinct types of analog quantum search schemes. The Riemannian metrization on the manifold is specified by the Fisher information evaluated along the parametrized squared probability amplitudes obtained from analysis of the temporal quantum mechanical evolution of a spin-1/2 particle in an external time-dependent magnetic field that specifies the su2;C Hamiltonian model. We employ a minimum action method to transfer a quantum system from an initial state to a final state on the manifold in a finite temporal interval. Furthermore, we demonstrate that the minimizing (optimum) path is the shortest (geodesic) path between the two states and, in particular, minimizes also the total entropy production that occurs during the transfer. Finally, by evaluating the entropic speed and the total entropy production along the optimum transfer paths in a number of physical scenarios of interest in analog quantum search problems, we show in a clear quantitative manner that to a faster transfer there corresponds necessarily a higher entropy production rate. Thus we conclude that lower entropic efficiency values appear to accompany higher entropic speed values in quantum transfer processes.

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  • Received 7 November 2019
  • Revised 16 January 2020
  • Accepted 22 January 2020

DOI:https://doi.org/10.1103/PhysRevE.101.022110

©2020 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Statistical Physics & ThermodynamicsInterdisciplinary PhysicsQuantum Information, Science & Technology

Authors & Affiliations

Carlo Cafaro1 and Paul M. Alsing2

  • 1SUNY Polytechnic Institute, Albany, New York 12203, USA
  • 2Air Force Research Laboratory, Information Directorate, Rome, New York 13441, USA

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Issue

Vol. 101, Iss. 2 — February 2020

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