ArXiv TLDR

Charging Quantum Batteries via Dissipative Quenches

🐦 Tweet
2604.08151

Riccardo Grazi, Donato Farina, Niccolò Traverso Ziani, Dario Ferraro

quant-phcond-mat.mes-hall

TLDR

This paper shows how dissipative quenches can charge quantum batteries, activating work extraction from passive thermal states and revealing Mpemba-like effects.

Key contributions

  • Purely dissipative dynamics activate ergotropy from passive thermal states in quantum batteries.
  • Observe Mpemba-like effect: hotter initial states temporarily outperform colder ones in ergotropy.
  • Collective dissipation creates steady states whose passivity depends on initial temperature and system size.
  • Dephasing channels significantly suppress both transient and steady-state work extraction.

Why it matters

This research reveals new mechanisms for charging quantum batteries using environmental dissipation, challenging conventional views on noise. Understanding these effects is crucial for designing efficient quantum energy storage devices.

Original Abstract

We investigate work extraction in open quantum batteries composed of interacting spin chains weakly coupled to engineered environments. Focusing on two- and four-qubit XX models initially prepared in thermal Gibbs states, we analyze how dissipation and dephasing, acting either locally or collectively, can generate and shape ergotropy during both transient and steady-state dynamics. By introducing a continuous interpolation between parallel and collective noise channels, we systematically characterize the impact of environmental structure on work extractability. We show that purely dissipative dynamics can activate finite ergotropy from completely passive thermal states, giving rise to temperature-dependent transient regimes where hotter initial states temporarily outperform colder ones in an ergotropic Mpemba-like fashion. In contrast, collective dissipation leads to steady states whose passivity crucially depends on the initial temperature and system size, a behavior we trace back to the emergence of non-trivial dark subspaces. Finally, we demonstrate that dephasing channels suppress both transient advantages and steady-state work extraction, highlighting the qualitative difference between dissipative and dephasing environments.

📬 Weekly AI Paper Digest

Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.