Modified quantum-speed-limit bounds for open quantum dynamics in quantum channels

Liu, Xin and Wu, Wei and Wang, Chao (2017) Modified quantum-speed-limit bounds for open quantum dynamics in quantum channels. Physical Review A: Atomic, Molecular and Optical Physics, 95 (5). 052118. ISSN 1050-2947. E-ISSN 1094-1622. (doi:https://doi.org/10.1103/PhysRevA.95.052118) (Full text available)

PDF - Author's Accepted Manuscript
Download (362kB) Preview
[img]
Preview
Official URL
http://dx.doi.org/10.1103/PhysRevA.95.052118

Abstract

The minimal evolution time between two distinguishable states is of fundamental interest in quantum physics. Very recently Mirkin et al. argue that some most common quantum-speed-limit (QSL) bounds which depend on the actual evolution time do not cleave to the essence of the QSL theory as they grow indefinitely but the final state is reached at a finite time in a damped Jaynes-Cummings (JC) model. In this paper, we thoroughly study this puzzling phenomenon. We find the inconsistent estimates will happen if and only if the limit of resolution of a calculation program is achieved, through which we propose that the nature of the inconsistency is not a violation to the essence of the QSL theory but an illusion caused by the finite precision in numerical simulations. We also present a generic method to overcome the inconsistent estimates and confirm its effectiveness in both amplitude-damping and phase-damping channels. Additionally, we show special cases which may restrict the QSL bound defined by “quantumness”.

Item Type: Article
Subjects: Q Science > QC Physics > QC355 Optics
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Broadband & Wireless Communications
Depositing User: Chao Wang
Date Deposited: 04 May 2017 11:19 UTC
Last Modified: 04 Sep 2017 14:10 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/61611 (The current URI for this page, for reference purposes)
Wang, Chao: https://orcid.org/0000-0002-0454-8079
  • Depositors only (login required):

Downloads

Downloads per month over past year