Ergotropy and capacity optimization in Heisenberg spin-chain quantum batteries
Asad Ali, Saif Al-Kuwari, M. I. Hussain, Tim Byrnes, M. T. Rahim,, James Q. Quach, Mehrdad Ghominejad, Saeed Haddadi

TL;DR
This paper analyzes how Heisenberg spin-chain models with additional interactions affect the performance of quantum batteries, deriving analytical expressions for work extraction, and highlighting the roles of quantum correlations, temperature, and interactions.
Contribution
It provides new analytical formulas linking ergotropy, capacity, and quantum correlations in spin-chain quantum batteries with Dzyaloshinsky-Moriya and KSEA interactions.
Findings
Maximum ergotropy varies with magnetic field configuration in AFM and FM systems.
Incorporating DM and KSEA couplings enhances battery capacity and ergotropy.
Temperature and quantum coherence critically influence performance and phase transitions.
Abstract
This study examines the performance of finite spin quantum batteries (QBs) using Heisenberg spin models with Dzyaloshinsky-Moriya (DM) and Kaplan--Shekhtman--Entin-Wohlman--Aharony (KSEA) interactions. The QBs are modeled as interacting quantum spins in local inhomogeneous magnetic fields, inducing variable Zeeman splitting. We derive analytical expressions for the maximal extractable work, ergotropy and the capacity of QBs, as recently examined by Yang et al. [Phys. Rev. Lett. 131, 030402 (2023)]. These quantities are analytically linked through certain quantum correlations, as posited in the aforementioned study. Different Heisenberg spin chain models exhibit distinct behaviors under varying conditions, emphasizing the importance of model selection for optimizing QB performance. In antiferromagnetic (AFM) systems, maximum ergotropy occurs with a Zeeman splitting field applied to…
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Taxonomy
TopicsElectrocatalysts for Energy Conversion · Quantum-Dot Cellular Automata · Advanced Memory and Neural Computing
