Pauli-Lindbladian based noise modeling and mitigation

A computer implemented method of mitigating quantum errors, comprising:

• generating, by a system comprising a processor, generates a sparse Pauli-Lindblad error model of respective noise of layers comprising noisy two-qubit gates of a quantum circuit, wherein the quantum circuit comprises the layers comprising the noisy two-qubit gates interleaved with at least one layer comprising single-qubit gates;
• generating, by the system, an inverse noise model by negating coefficients of the sparse Pauli-Lindblad error model;
• obtaining, by the system, samples from the inverse noise model;
• inserting, by the system, the samples into the quantum circuit to mitigate errors associated with one or more gates of the quantum circuit;
• and
• executing, by the system, via a quantum processor, instances of the quantum circuit comprising the samples from the inverse noise model to mitigate the errors.

A computer program product for mitigating quantum errors, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

• generate a sparse Pauli-Lindblad error model of respective noise of layers comprising noisy two-qubit gates of a quantum circuit, wherein the quantum circuit comprises the layers comprising the noisy two-qubit gates interleaved with at least one layer comprising single-qubit gates;
• generate an inverse noise model by negating coefficients of the sparse Pauli-Lindblad error model;
• obtain samples from the inverse noise model;
• insert the samples into the quantum circuit to mitigate errors associated with one or more gates of the quantum circuit and
• execute, via a quantum processor, instances of the quantum circuit comprising the samples from the inverse noise model to mitigate the errors.