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ArcTN: Efficient Tensor-Network Contraction Planning for Quantum Circuit Simulation
Tensor-network simulation of quantum circuits depends on contraction orders with low computational cost and small intermediate tensors, found without excessive planning time. We present ArcTN, a contraction-order optimization framework with two search presets. Light keeps planning overhead low, and
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