Albert J. Pool, Michael Schelling
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.
@article{300d44eb-7294-4eed-a0dd-7cc95ba4cace,
title={Simulation of a Battery Cell on Quantum Computers: Reactions Transport},
author={Albert J. Pool and Michael Schelling},
year={2026},
language={English}
}TY - JOUR TI - Simulation of a Battery Cell on Quantum Computers: Reactions Transport AU - Albert J. Pool AU - Michael Schelling PY - 2026 LA - English ER -
Yaya Dagal D
This document presents an educational module on electrochemical energy storage systems—primary cells, accumulators, and batteries—with specific emphas
Riken
This article reports the development of a room-temperature hydride ion (H⁻)-conducting solid electrolyte, representing a significant advance toward pr
Raven Wuebker
This article reports recent advances in the development of polymer–air batteries as safer, more sustainable alternatives to conventional metal–air and
Raven Wuebker
This article reports recent advances in the development of metal-free, water-based batteries as a safer and more sustainable alternative to convention
Erik P. DeBenedictis
Inspired by recent interest in quantum computing and recent studies of cryo CMOS for control electronics, this paper presents a hybrid semiconductor-s