排斥反馈算法驱动玻色子量子电池的自恋性

Q3 Physics and Astronomy

Cybernetics and Physics Pub Date : 2021-06-30 DOI:10.35470/2226-4116-2021-10-1-9-12

S. Borisenok

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引用次数: 0

摘要

反馈算法可以有效地控制量子电池(qb)的基本特性:自洽性、充电功率、存储容量等。我们在这里发明了两种替代方法，目标排斥和速度梯度反馈，以最大限度地提高玻色子类型的单量子比特量子电池的自恋性。我们证明了控制目标的可实现性，并讨论了两种算法的优缺点。

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Ergotropy of bosonic quantum battery driven via repelling feedback algorithms

Feedback algorithms can be efficiently applied to control the basic characteristics of quantum batteries (QBs): the ergotropy, the charging power, the storage capacity and others. We invent here two alternative approaches, target repeller and speed gradient feedback, to maximize the ergotropy for bosonic types of single-qubit based quantum batteries. We demonstrate the achievability of the control goal and discuss some pros and cons of both proposed algorithms.

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来源期刊

Cybernetics and Physics Chemical Engineering-Fluid Flow and Transfer Processes

CiteScore

1.70

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.