Skip to main content
SHARE
Publication

Scalable quantum processor noise characterization...

Publication Type
Conference Paper
Journal Name
IEEE Xplore Digital Library
Book Title
2020 IEEE International Conference on Quantum Computing and Engineering (QCE)
Publication Date
Page Numbers
430 to 440
Volume
1
Issue
1
Publisher Location
District of Columbia, United States of America
Conference Name
IEEE Quantum Week (QCE20): IEEE International Conference on Quantum Computing and Engineering (QCE)
Conference Location
Broomfield, Colorado, United States of America
Conference Sponsor
IEEE
Conference Date
-

Measurement fidelity matrices (MFMs) (also called error kernels) are a natural way to characterize state preparation and measurement errors in near-term quantum hardware. They can be employed in post processing to mitigate errors and substantially increase the effective accuracy of quantum hardware. However, the feasibility of using MFMs is currently limited as the experimental cost of determining the MFM for a device grows exponentially with the number of qubits. In this work we present a scalable way to construct approximate MFMs for many-qubit devices based on cumulant expansions. Our method can also be used to characterize various types of correlation error.