Optimal energy storage and collective charging speedup in the central-spin quantum battery
Hui-Yu Yang, Kun Zhang, Xiao-Hui Wang, and Hai-Long Shi

TL;DR
This paper analytically investigates a central-spin quantum battery model, revealing conditions for optimal energy storage and demonstrating collective charging speedup, with implications for quantum energy storage efficiency.
Contribution
It introduces an analytical framework for central-spin quantum batteries, identifying scenarios for optimal storage and quantifying collective charging speedup.
Findings
Optimal energy storage conditions identified for various parameter regimes.
Collective charging speedup scales as N_b in certain cases.
Asymptotic optimal storage with N_b = m = N_c achieved, with a speedup scaling as N_b^{0.8264}.
Abstract
Quantum batteries (QBs) exploit principles of quantum mechanics to accelerate the charging process and aim to achieve optimal energy storage. However, analytical results for investigating these problems remain lacking due to the challenges associated with nonequilibrium dynamics. In this work, we analytically investigate a central-spin QB model in which spin-1/2 battery cells interact with spin-1/2 charger units, using initially excited charger units as a resource. By employing the invariant subspace method and the shifted Holstein-Primakoff transformation, we identify four scenarios in which optimal energy storage can be achieved: (i) ; (ii) ; (iii) ; and (iv) []. In these cases, optimal storage is ensured by the SU(2) symmetry emerging from the charging dynamics.…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Quantum and electron transport phenomena · Quantum Computing Algorithms and Architecture
