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IQM and Volkswagen Advance Quantum-Classical AFQMC to Simulate Next-Generation Battery Chemistry
RESEARCH·Nov 6, 2026·1 MIN READ

IQM and Volkswagen Advance Quantum-Classical AFQMC to Simulate Next-Generation Battery Chemistry

IQM Quantum Computers and Volkswagen Group Innovation have significantly advanced Quantum-Classical Auxiliary-Field Quantum Monte Carlo (QC-AFQMC) for simulating battery chemistry. They achieved up to a 124x reduction in classical execution time for a 50-orbital benchmark, validated on IQM's Emerald superconducting processor. This breakthrough addresses the computational challenges of simulating complex chemical reactions in next-generation batteries like lithium-air, paving the way for more...

Source

Quantum Computing Report

Author: Mohamed Abdel-Kareem

Published Nov 6, 2026

Summarised/rewritten with AI from Quantum Computing Report

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IQM Quantum Computers and Volkswagen Group Innovation have significantly advanced Quantum-Classical Auxiliary-Field Quantum Monte Carlo (QC-AFQMC) for simulating battery chemistry. They achieved up to a 124x reduction in classical execution time for a 50-orbital benchmark, validated on IQM's Emerald superconducting processor. This breakthrough addresses the computational challenges of simulating complex chemical reactions in next-generation batteries like lithium-air, paving the way for more efficient materials discovery.

The post IQM and Volkswagen Advance Quantum-Classical AFQMC to Simulate Next-Generation Battery Chemistry appeared first on Quantum Computing Report .

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Source
Quantum Computing Report
Published
Nov 6, 2026
Category
RESEARCH
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Quantum Network

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022 49646504

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