Invention Grant
- Patent Title: Quantum readout error mitigation by stochastic matrix inversion
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Application No.: US18057084Application Date: 2022-11-18
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Publication No.: US11960971B2Publication Date: 2024-04-16
- Inventor: Sergey Bravyi , Jay M. Gambetta , David C. Mckay , Sarah E. Sheldon
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Amin, Turocy & Watson, LLP
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F17/16 ; G06N7/08 ; G06N10/00

Abstract:
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.
Public/Granted literature
- US20240005185A1 QUANTUM READOUT ERROR MITIGATION BY STOCHASTIC MATRIX INVERSION Public/Granted day:2024-01-04
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