Practical Trainable Temporal Postprocessor for Multistate Quantum Measurement

We develop and demonstrate a trainable temporal postprocessor (TPP) harnessing a simple but versatile machine learning algorithm to provide optimal processing of quantum measurement data subject to arbitrary noise processes for the readout of an arbitrary number of quantum states. We demonstrate the...

Full description

Bibliographic Details

Published in:	PRX quantum Vol. 5; no. 2
Main Authors:	Khan, Saeed A., Kaufman, Ryan, Mesits, Boris, Hatridge, Michael, Türeci, Hakan E.
Format:	Journal Article
Language:	English
Published:	21.06.2024
ISSN:	2691-3399, 2691-3399
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!