aiqbench analysis

This algorithmic breakthrough accelerates tensor-network contraction by up to 100×, enabling complex simulations of quantum materials like Heisenberg antiferromagnets on a single H100 GPU. By replacing large matrix decompositions with smaller subspace iterations, the method shifts computational bottlenecks to operations that GPUs can process more efficiently. This advancement significantly expands the scope of accessible calculations in condensed matter physics without requiring specialized quantum hardware.