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 .
