Issue |
EPJ Web Conf.
Volume 230, 2020
Italian National Conference on the Physics of Matter (FisMat 2019)
|
|
---|---|---|
Article Number | 00003 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/epjconf/202023000003 | |
Published online | 11 March 2020 |
https://doi.org/10.1051/epjconf/202023000003
Quantum resources for energy storage
1 Dipartimento di Fisica, Universitá di Genova, Via Dodecaneso 33, I-16146 Genova, Italy
2 Dipartimento di Fisica e Astronomia, Universitá di Firenze, Via Sansone 1, I-50019 Sesto Fiorentino (FI), Italy
3 INFN Sezione di Firenze, Via G. Sansone 1, I-50019 Sesto Fiorentino (FI), Italy
4 Istituto Italiano di Tecnologia, Graphene Labs, Via Morego 30, I-16163 Genova, Italy
5 NEST, Scuola Normale Superiore, I-56126 Pisa, Italy
6 Bedimensional S.p.a., Via Albisola 121, I-16163 Genova, Italy
∗ Corresponding author: ferraro@fisica.unige.it
Published online: 11 March 2020
Recently the possibility to exploit quantum-mechanical effects to increase the performance of energy storage has raised a great interest. It consists of N two-level systems coupled to a single photonic mode in a cavity. We demonstrate the emergence of a quantum advantage in the charging power on this collective model (Dicke Quantum Battery) with respect to the one in which each two-level system is coupled to its own separate cavity mode (Rabi Quantum Battery). Moreover, we discuss the model of a Quantum Supercapacitor. This consists of two chains, one containing electrons and the other one holes, hosted by arrays of double quantum dots. The two chains are in close proximity and embedded in the same photonic cavity, in the same spirit of the Dicke model. We find the phase diagram of this model showing that, when transitioning from the ferro/antiferromagnetic to the superradiant phase, the quantum capacitance of the model is greatly enhanced.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.