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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, pl
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