A variance-aware tensor network framework using the tensor jump method, TDVP on MPS, and Pauli-Lindblad noise models enables scalable simulation of noisy quantum circuits with reduced Monte Carlo variance.
Each channelpis unraveled by an analog unitary mixture with a symmetric angle lawwand L(ℓ) p,θ = q λp w(θ)e iθP (ℓ) p , λp =γ p/s, s:=E w[sin2 θ]∈(0,1]
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Noisy quantum circuit simulation with the tensor jump method
A variance-aware tensor network framework using the tensor jump method, TDVP on MPS, and Pauli-Lindblad noise models enables scalable simulation of noisy quantum circuits with reduced Monte Carlo variance.