IBM quantum platforms: a quantum battery perspective
Giulia Gemme, Michele Grossi, Dario Ferraro, Sofia Vallecorsa, Maura, Sassetti

TL;DR
This paper evaluates IBM quantum chips as quantum batteries, analyzing charging efficiency, initial conditions, and error impacts, demonstrating their potential as stable, high-performance quantum energy storage devices.
Contribution
It is the first to characterize IBM quantum processors as quantum batteries, exploring charging profiles, initial state effects, and error resilience.
Findings
Errors in initialization marginally affect energy storage
Optimal charging profiles balance time and energy
IBM quantum devices are suitable as quantum batteries
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…
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