A stochastic Pauli-path simulator with importance reweighting and path automatic differentiation produces unbiased gradient estimates for quantum optimization, demonstrated on VQE at 100 qubits and QNN at 40 qubits.
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Stochastic Pauli-path simulator for large-scale quantum optimization
A stochastic Pauli-path simulator with importance reweighting and path automatic differentiation produces unbiased gradient estimates for quantum optimization, demonstrated on VQE at 100 qubits and QNN at 40 qubits.