Literature DB >> 32168615

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

Carlo Cafaro1, Paul M Alsing2.   

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 su(2;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 su(2;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.

Entities:  

Year:  2020        PMID: 32168615     DOI: 10.1103/PhysRevE.101.022110

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  2 in total

1.  Learning on dynamic statistical manifolds.

Authors:  F Boso; D M Tartakovsky
Journal:  Proc Math Phys Eng Sci       Date:  2020-07-29       Impact factor: 2.704

2.  Monte Carlo Simulation of Stochastic Differential Equation to Study Information Geometry.

Authors:  Abhiram Anand Thiruthummal; Eun-Jin Kim
Journal:  Entropy (Basel)       Date:  2022-08-12       Impact factor: 2.738

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.