A quantum autoencoder: Using machine learning to compress qutrits
Abstract
The compression of quantum data will allow increased control over difficult-to- manage quantum resources. We experimentally realize a quantum autoencoder, which learns to compress quantum data with a classical machine learning routine.
Conference Title
14th Pacific Rim Conference on Lasers and Electro-Optics (CLEO PR 2020) - Proceedings
Copyright Statement
© 2020 Optical Society of America. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
Subject
Atomic, molecular and optical physics