Extractable energy from quantum superposition of current states

Abstract We explore the energy content of superpositions of single-excitation current states. Specifically, we focus on the maximum energy that can be extracted from them through local unitary transformations. The figure of merit we employ is the local ergotropy. We consider an XY spin-chain model and perform a complete analysis in the whole range of the system parameters. This way, we prove that superpositions of two current states in spatially closed spin networks are characterized by specific peaks in extractable energy, generally overcoming the ergotropy of each of the two separate current states characterized by a single winding number. The many-body state dynamics entails to ergotropy evolving in a controlled fashion. The implementation we suggest is based on a Rydberg-atom platform. Optimal transformations able to extract locally the maximum possible amount of energy are sorted out.

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Publication Details

Journal
Quantum Science and Technology
Published
2025-03-11
DOI
https://doi.org/10.1088/2058-9565/adbf45
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.48

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article

Extractable energy from quantum superposition of current states

Juan Polo, Davide Rossini, Francesco Perciavalle, Luigi Amico
1 citations
Quantum Science and Technology
Quantum Computing Algorithms and Architecture
2.48
article

Extractable energy from quantum superposition of current states

Juan Polo, Davide Rossini, Francesco Perciavalle, Luigi Amico
article en
1 citations

Abstract

Abstract We explore the energy content of superpositions of single-excitation current states. Specifically, we focus on the maximum energy that can be extracted from them through local unitary transformations. The figure of merit we employ is the local ergotropy. We consider an XY spin-chain model and perform a complete analysis in the whole range of the system parameters. This way, we prove that superpositions of two current states in spatially closed spin networks are characterized by specific peaks in extractable energy, generally overcoming the ergotropy of each of the two separate current states characterized by a single winding number. The many-body state dynamics entails to ergotropy evolving in a controlled fashion. The implementation we suggest is based on a Rydberg-atom platform. Optimal transformations able to extract locally the maximum possible amount of energy are sorted out.

Quantum Science and TechnologyVol. 10(2)
University of Pisa (IT), University of Catania (IT), Technology Innovation Institute (AE), Istituto Nazionale di Fisica Nucleare, Sezione di Catania (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Pisa (IT)
Julian Schwinger Foundation for Physics Research
Openalex Percentile: Top 11%
Quantum Computing Algorithms and Architecture
2.48
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