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Advanced Quantum Technologies

Performance of Quantum Batteries in a Collision Model

Na‐Na Li, Lu Wang, S.Y. Liu, Hao Fan, Fan Wu, S.Y. Liu

Published Dec 31, 2025• 0 citations
Publisher

Abstract

ABSTRACT This study investigates the charging performance of single‐qubit and multi‐qubit quantum batteries in both Markovian and non‐Markovian environments. Using the collision model to simulate a bosonic bath, we provide a detailed study of the impact of temperature on battery performance through both analytical and numerical solutions in a prepared thermal bath, demonstrating that high temperature generally suppresses steady‐state ergotropy of quantum batteries, while also accelerating the convergence to the steady state. By applying the Luo‐Fu‐Song measure of non‐Markovianity, it is found that the information backflow generated in a non‐Markovian environment further enhances the battery's ergotropy and speeds up the approach to the steady state. Additionally, when studying multi‐qubit quantum battery, we consider each individual spin as an independent battery unit. The results show that non‐Markovian memory effects allow spins directly coupled to the bath to store more energy. Notably, with elevated temperature even enhancing their steady‐state ergotropy due to information backflow. Finally, we find that the battery's mixedness is always positively correlated with the unavailable energy. This provides theoretical support for distributed energy extraction in quantum batteries.

DOI
10.1002/qute.202500739

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ABSTRACT This study investigates the charging performance of single‐qubit and multi‐qubit quantum batteries in both Markovian and non‐Markovian environments. Using the collision model to simulate a bosonic bath, we provide a detailed study of the impact of temperature on battery performance through both analytical and numerical solutions in a prepared thermal bath, demonstrating that high temperature generally suppresses steady‐state ergotropy of quantum batteries, while also accelerating the convergence to the steady state. By applying the Luo‐Fu‐Song measure of non‐Markovianity, it is found that the information backflow generated in a non‐Markovian environment further enhances the battery's ergotropy and speeds up the approach to the steady state. Additionally, when studying multi‐qubit quantum battery, we consider each individual spin as an independent battery unit. The results show that non‐Markovian memory effects allow spins directly coupled to the bath to store more energy. Notably, with elevated temperature even enhancing their steady‐state ergotropy due to information backflow. Finally, we find that the battery's mixedness is always positively correlated with the unavailable energy. This provides theoretical support for distributed energy extraction in quantum batteries.
Abstract We study the effect of non-Markovianity in the charging process of an open-system quantum battery. We employ a collisional model framework, where the environment is described by a discrete set of ancillary systems and memory effects in the dynamics can be introduced by allowing these ancillas to interact. We study in detail the behaviour of the steady-state ergotropy and the impact of the information backflow to the system on the different features characterizing the charging process. Remarkably, we find that there is a maximum value of the ergotropy achievable: this value can be obtained either in the presence of memoryless environment, but only in the large-loss limit, as derived in (Farina et al 2019 Phys. Rev. B 99 035421), or in the presence of an environment with memory also beyond the large-loss limit. In general, we show that the presence of an environment with memory allows us to generate steady-state ergotropy near to its maximum value for a much larger region in the parameter space and thus potentially in a shorter time. Relying on the geometrical measure of non-Markovianity, we show that in both the cases of an environment with and without memory the ergotropy maximum is obtained when the non-Markovianity of the dynamics of the battery is zero, possibly as the result of a non-trivial interplay between the memory effects induced by, respectively, the environment and the charger connected to the battery.
In general, a quantum battery unavoidably interacts with its surroundings. Here, we study memory effects on energy and ergotropy of a quantum battery in the framework of open system dynamics, where the battery and charger are individually allowed to access a bosonic environment. Our investigation shows that the battery can be fully charged and all the energy stored in the battery can be extracted in the presence of non-Markovian dynamics, in addition, its energy can be preserved for long times compared with Markovian dynamics. Our results indicate that memory effects can play a significant role in improving the performance of quantum batteries.
Abstract The performance of quantum technologies that use entanglement and coherence as a resource is highly limited by the effects of decoherence due to their interaction with some environment. In particular, it is important to take into account situations where such devices unavoidably interact with surrounding. Here, we study memory effects on energy and ergotropy of quantum batteries in the framework of open system dynamics, where the battery and charger are individually allowed to access a bosonic environment. Our investigation shows that the battery can be fully charged as well as its energy can be preserved for long times in non-Markovian dynamics compared with Markovian dynamics. Moreover, the non-Markovianity increase makes it possible to extract the total stored energy as work and the discharge time becomes longer. Our results indicate that memory effects can play a significant role in improving the performance of quantum batteries.
We construct a central-spin battery model affected by noise or thermal bath and consider the impact of environment on battery performance. In a noisy environment, we show that the steady-state energy and ergotropy are related to the number of spins exposed to the noisy channel. In addition, we reveal the relationship between the steady-state energy and ergotropy with the quantum information lost in the battery. In a thermal bath, we find that the higher the mean occupation number of the thermal bath, the greater the steady-state energy. In particular, we find that, in two different environments, the steady-state energy and ergotropy are related to the effective magnetic-field strength of battery BBB, but not charger hhh. It is worth noting that, in the central-spin model, when BBB is a constant and $|h/B\ensuremath{-}1|$ reaches a certain value, the steady-state energy and ergotropy with noise or thermal bath are always greater than or equal to the maximum energy and ergotropy of the corresponding closed battery. At the same time, we generalize the conclusions to the two-qubit, two-harmonic-oscillator, and harmonic-oscillator-qubit models.
Abstract We investigate non-Markovianity and its effects on thermodynamic principles and quantum battery performance within a structured nonequilibrium environment consisting of a three-level memory unit and two thermal reservoirs. We demonstrate that temperature imbalance, average temperature, and memory structure serve as effective control parameters for modulating non-Markovianity, exhibiting distinct behaviors for bosonic and fermionic reservoirs. An improved Landauer’s bound applicable to non-Markovian processes is derived, overcoming the limitations of its conventional counterpart. By treating the central system as a quantum battery and the environment as a charger, we show that steady-state ergotropy can be achieved and tuned via thermodynamic parameters. Furthermore, non-Markovian dynamics significantly delay the discharge of the battery. Our study provides a pathway for constructing non-Markovian thermodynamic environments and harnessing non-Markovian effects to enhance the performance of quantum thermal devices.
We investigate the performance of a quantum battery exposed to local Markovian and non-Markovian dephasing noises. The battery is initially prepared as the ground state of a one-dimensional transverse XYXYXY model with open boundary condition and is charged (discharged) via interactions with local bosonic reservoirs. We show that in the transient regime, the quantum battery (QB) can store energy faster and has a higher maximum extractable work, quantified via ergotropy, when it is affected by local phase-flip or bit-flip Markovian noise compared to the case when there is no noise in the system. In both the charging and discharging processes, we report the enhancement in work output as well as in ergotropy when all the spins are affected by a non-Markovian Ohmic bath in both the transient and the steady-state regimes, thereby showing a counterintuitive advantage of decoherence in the QB. In both Markovian and non-Markovian cases, we identify the system parameters and the corresponding noise models which lead to maximum enhancement of work output and ergotropy. Moreover, we show that the benefit due to noise persists even with the initial state being prepared at a moderate temperature.