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Quantum Science and Technology
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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DIGITAL.CSIC
Article . 2024 . Peer-reviewed
Data sources: DIGITAL.CSIC
https://dx.doi.org/10.48550/ar...
Article . 2024
License: CC BY
Data sources: Datacite
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Quantum battery supercharging via counter-diabatic dynamics

Authors: L F C de Moraes; Alan C Duriez; A Saguia; Alan C Santos; M S Sarandy;

Quantum battery supercharging via counter-diabatic dynamics

Abstract

Abstract We introduce a counter-diabatic (CD) approach for deriving Hamiltonians modeling superchargable quantum batteries (QBs). A necessary requirement for the supercharging process is the existence of multipartite interactions among the cells of the battery. Remarkably, this condition may be insufficient no matter the number of multipartite terms in the Hamiltonian. We analytically illustrate this kind of insufficiency through a model of QB based on the adiabatic version for the Grover search problem. On the other hand, we provide QB supercharging with just a mild number of global connections in the system. To this aim, we consider a spin- 1 / 2 chain with n sites in the presence of Ising multipartite interactions. We then show that, by considering the validity of the adiabatic approximation and by adding n terms of ( n − 1 ) -site interactions, we can achieve a Hamiltonian exhibiting maximum QB power, with respect to a normalized evolution time, growing quadratically with n. Therefore, supercharging can be achieved by O(n) terms of multipartite connections. The time constraint required by the adiabatic approximation can be surpassed by considering a CD expansion in terms of the gauge potential for the original Hamiltonian, with a limited O(n) many-body interaction terms assured via a Floquet approach for the CD implementation.

Countries
Spain, Spain
Keywords

Counter-diabatic driving, Quantum Physics, Supercharging, FOS: Physical sciences, Quantum Physics (quant-ph), Quantum battery

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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