CPC G06F 11/1008 (2013.01) [G06N 3/08 (2013.01); G06N 10/00 (2019.01); G06N 20/00 (2019.01)] | 15 Claims |
1. A method for mitigating an error of a quantum circuit in a quantum computer, the method comprising:
detecting a quantum circuit to be mitigated among a plurality of quantum circuits forming the quantum computer;
invoking a pre-trained deep learning model for mitigating an error of the plurality of quantum circuits;
inferring an error correction value of the detected quantum circuit using the invoked deep learning model; and
mitigating an error of the detected quantum circuit based on the inferred error correction value,
wherein the deep learning model is a deep neural network (DNN) model, and
wherein an independent variable of the DNN model comprises at least one of information G1(a:b) about a number of 1-qubit gates of unitaries positioned between depth a and depth b of the quantum circuit, information G2(a:b) about a number of 2-qubit gates of the unitaries positioned between the depth a and the depth b of the quantum circuit, error information Ea(·|i) about a unitary positioned at the depth a of the quantum circuit, and measurement outcome probability information Pb(·|i) about a unitary positioned at the depth b of the quantum circuit.
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