Back to Search Start Over

IBM quantum platforms: a quantum battery perspective

Authors :
Gemme, Giulia
Grossi, Michele
Ferraro, Dario
Vallecorsa, Sofia
Sassetti, Maura
Source :
Batteries 8, 43 (2022)
Publication Year :
2022

Abstract

We characterize for the first time the performances of IBM quantum chips as quantum batteries, specifically addressing the single-qubit Armonk processor. By exploiting the Pulse access enabled to some of the IBM Quantum processors via the Qiskit package, we investigate advantages and limitations of different profiles for classical drives used to charge these miniaturized batteries, establishing the optimal compromise between charging time and stored energy. Moreover, we consider the role played by various possible initial conditions on the functioning of the quantum batteries. As main result of our analysis, we observe that unavoidable errors occurring in the initialization phase of the qubit, which can be detrimental for quantum computing applications, only marginally affects energy transfer and storage. This can lead counter-intuitively to improvements of the performances. This is a strong indication of the fact that IBM quantum devices are already in the proper range of parameters to be considered as good and stable quantum batteries, comparable to state of the art devices recently discussed in literature.<br />Comment: 13 pages, 4 figures

Details

Database :
arXiv
Journal :
Batteries 8, 43 (2022)
Publication Type :
Report
Accession number :
edsarx.2204.10786
Document Type :
Working Paper
Full Text :
https://doi.org/10.3390/batteries8050043