Charging a quantum battery with linear feedback control

Mark T. Mitchison1, John Goold1, and Javier Prior2,3

1School of Physics, Trinity College Dublin, College Green, Dublin 2, Ireland
2Departamento de Física Aplicada, Universidad Politécnica de Cartagena, Cartagena E-30202, Spain
3Instituto Carlos I de Física Teórica y Computacional, Universidad de Granada, Granada E-18071, Spain

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Abstract

Energy storage is a basic physical process with many applications. When considering this task at the quantum scale, it becomes important to optimise the non-equilibrium dynamics of energy transfer to the storage device or battery. Here, we tackle this problem using the methods of quantum feedback control. Specifically, we study the deposition of energy into a quantum battery via an auxiliary charger. The latter is a driven-dissipative two-level system subjected to a homodyne measurement whose output signal is fed back linearly into the driving field amplitude. We explore two different control strategies, aiming to stabilise either populations or quantum coherences in the state of the charger. In both cases, linear feedback is shown to counteract the randomising influence of environmental noise and allow for stable and effective battery charging. We analyse the effect of realistic control imprecisions, demonstrating that this good performance survives inefficient measurements and small feedback delays. Our results highlight the potential of continuous feedback for the control of energetic quantities in the quantum regime.

Talk at International Workshop “Open Quantum Dynamics and Thermodynamics”, hosted by the Center for Theoretical Physics of Complex Systems, Institute for Basic Science, South Korea.

Quantum batteries are useful models to explore the fundamental limits of energy transduction using controlled quantum systems. Recent research has focused on the effect of noise from the battery's environment on the charging process. Here, we introduce and explore a charging protocol based on quantum feedback control. Focussing our attention on a minimal model, we show that information gained through weak measurements on the environment can be exploited to reliably suppress noise and enhance the battery's charging performance. Such control can be implemented in various platforms including electronic and optical systems, opening up interesting possibilities for the experimental manipulation of energetic quantities with continuous quantum feedback.

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