analiza aiqbench

OTI Lumionics demonstrates that high-precision molecular simulations can currently outperform traditional supercomputing clusters using classical hardware, effectively challenging the immediate utility assumption for fault-tolerant quantum computers. By translating algorithms from Python to C++ and leveraging memory compression techniques, the approach bridges the gap until 200-qubit quantum systems become available. This benchmark highlights a pragmatic path forward for computational chemistry that prioritizes efficiency and accuracy without relying on unavailable quantum infrastructure.