Trade-off relations and enhancement protocol of quantum battery capacities in multipartite systems
Yiding Wang, Xiaofen Huang, Shao-Ming Fei, Tinggui Zhang

TL;DR
This paper explores the fundamental trade-off relations of quantum battery capacities in multipartite systems, introduces an enhancement protocol using incoherent operations, and validates these concepts through numerical examples and theoretical analysis.
Contribution
It establishes capacity trade-off relations for two- and three-qubit systems and proposes a protocol for capacity enhancement via incoherent unitaries, advancing quantum battery theory.
Findings
Capacity sum is governed by total system capacity across various Hamiltonians.
A protocol for capacity enhancement using incoherent unitaries is validated numerically.
Minimum time for capacity enhancement via a single incoherent operation is determined.
Abstract
First, we investigate the trade-off relations of quantum battery capacities in two-qubit system. We find that the sum of subsystem battery capacity is governed by the total system capacity, with this trade-off relation persisting for a class of Hamiltonians, including Ising, XX, XXZ and XXX models. Then building on this relation, we define residual battery capacity for general quantum states and establish coherent/incoherent components of subsystem battery capacity. Furthermore, we introduce the protocol to guide the selection of appropriate incoherent unitary operations for enhancing subsystem battery capacity in specific scenarios, along with a sufficient condition for achieving subsystem capacity gain through unitary operation. Numerical examples validate the feasibility of the incoherent operation protocol. Additionally, for the three-qubit system, we also established a set of…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Quantum and electron transport phenomena · Quantum Computing Algorithms and Architecture
