A deep-learned error mitigation method using partially knitted circuits reduces VQE energy error to below 1% under realistic noise, outperforming ZNE and damping-factor methods.
Testing the VQE algorithm improved by DL-EM Hereafter, the ground-state energy of random quantum Ising chains featuring N = 6 qubits is determined using the VQE algorithm
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Deep-learned error mitigation via partially knitted circuits for the variational quantum eigensolver
A deep-learned error mitigation method using partially knitted circuits reduces VQE energy error to below 1% under realistic noise, outperforming ZNE and damping-factor methods.