US 12,118,435 B2
Pauli-Lindbladian based noise modeling and mitigation
Ewout van den Berg, Bronxville, NY (US); Zlatko Kristev Minev, White Plains, NY (US); Abhinav Kandala, Yorktown Heights, NY (US); and Paul Kristan Temme, Ossining, NY (US)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Oct. 26, 2022, as Appl. No. 18/049,684.
Prior Publication US 2024/0152795 A1, May 9, 2024
Int. Cl. G06N 10/70 (2022.01); G06N 10/20 (2022.01); G06N 10/40 (2022.01)
CPC G06N 10/70 (2022.01) [G06N 10/20 (2022.01); G06N 10/40 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a memory that stores computer executable components; and
a processor, operably coupled to the memory, and that executes at least one of the computer executable components that:
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;
generates an inverse noise model by negating coefficients of the sparse Pauli-Lindblad error model;
obtains samples from the inverse noise model;
inserts the samples into the quantum circuit to mitigate errors associated with one or more gates of the quantum circuit; and
executes, via a quantum processor, instances of the quantum circuit comprising the samples from the inverse noise model to mitigate the errors.