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This study demonstrates a hybrid quantum-classical algorithm successfully simulating a battery cell using the Single Particle Model with electrolyte (SPMe), marking a significant milestone in applying quantum computing to electrochemical systems. By addressing current hardware noise limitations, the research provides a scalable framework for solving non-linear partial differential equations that are currently restricted by classical computational power. This advancement highlights the potential for quantum processors to accelerate material science discoveries and optimize next-generation energy storage technologies.
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Simulation of a Battery Cell on Quantum Computers: Reactions & Transport

arXiv2 min read

arXiv:2609.28369v1 Announce Type: cross Abstract: Simulations of electrochemical materials and systems accelerate technological progress, but are still limited by computational power. In particular, quantum computing offers prospects for higher resolutions, due to the exponential amount of data that can be stored in a quantum state. As current quantum computers are still noisy, we consider a hybrid quantum-classical algorithm, that divides the problem into smaller computational tasks. We describe how to implement such an algorithm for non-linear partial differential equations, the Feynman-Kitaev Hamiltonian, in a scalable way for an electrochemical system. We show how it can evaluate general electrochemical models and present a quantum simulation of the Single Particle Model with electrolyte (SPMe) as the first quantum simulation of a battery cell.

Abstract:Simulations of electrochemical materials and systems accelerate technological progress, but are still limited by computational power. In particular, quantum computing offers prospects for higher resolutions, due to the exponential amount of data that can be stored in a quantum state. As current quantum computers are still noisy, we consider a hybrid quantum-classical algorithm, that divides the problem into smaller computational tasks. We describe how to implement such an algorithm for non-linear partial differential equations, the Feynman-Kitaev Hamiltonian, in a scalable way for an electrochemical system. We show how it can evaluate general electrochemical models and present a quantum simulation of the Single Particle Model with electrolyte (SPMe) as the first quantum simulation of a battery cell.

Chemical Physics (physics.chem-ph); Computational Physics (physics.comp-ph); Quantum Physics (quant-ph)

arXiv:2609.28369 [physics.chem-ph]

(or arXiv:2609.28369v1 [physics.chem-ph] for this version)

https://doi.org/10.48550/arXiv.2609.28369 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 217 words

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