Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation
Classical simulation remains essential for developing and validating quantum algorithms, but its cost grows rapidly with circuit size. Tensor-network contraction can reduce this cost by exploiting circuit structure, although its efficiency depends strongly on the chosen contraction plan. On GPUs, plans with similar the...