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Predicting device-specific circuit fidelity before compilation with a fast GNN enables multi-QPU clusters to match brute-force hardware assignment quality without the crippling overhead of compiling across every target machine.
AFQMC, a leading method for modeling strongly correlated electronic systems, just got a serious speed boost thanks to isometric tensor hypercontraction.