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US Patent 11537927 Quantum readout error mitigation by stochastic matrix inversion

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11537927
Date of Patent
December 27, 2022
Patent Application Number
16791367
Date Filed
February 14, 2020
Patent Citations
‌
US Patent 10956267 Systems and methods for passive quantum error correction
‌
US Patent 10755193 Implementation of error mitigation for quantum computing machines
‌
US Patent 10332023 Hardware-efficient variational quantum eigenvalue solver for quantum computing machines
Patent Primary Examiner
‌
Cheng Yuan Tseng
CPC Code
‌
G06N 10/00

A method of mitigating quantum readout errors by stochastic matrix inversion includes performing a plurality of quantum measurements on a plurality of qubits having predetermined plurality of states to obtain a plurality of measurement outputs; selecting a model for a matrix linking the predetermined plurality of states to the plurality of measurement outputs, the model having a plurality of model parameters, wherein a number of the plurality of model parameters grows less than exponentially with a number of the plurality of qubits; training the model parameters to minimize a loss function that compares predictions of the model with the matrix; computing an inverse of the model based on the trained model parameters; and providing the computed inverse of the model to a noise prone quantum readout of the plurality of qubits to obtain a substantially noise free quantum readout.

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