Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases

Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases

Quantum neural networks could help analysing the output of quantum computers and quantum simulators of growing complexity. Here, the authors use a 7-qubit superconducting quantum processor to show how a quantum convolutional neural network can correctly recognise the phase of a quantum many-body sta...

Full description

Bibliographic Details
Main Authors: Johannes Herrmann, Sergi Masot Llima, Ants Remm, Petr Zapletal, Nathan A. McMahon, Colin Scarato, François Swiadek, Christian Kraglund Andersen, Christoph Hellings, Sebastian Krinner, Nathan Lacroix, Stefania Lazar, Michael Kerschbaum, Dante Colao Zanuz, Graham J. Norris, Michael J. Hartmann, Andreas Wallraff, Christopher Eichler
Format: Article
Language:English
Published: Nature Portfolio 2022-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-31679-5

Internet

https://doi.org/10.1038/s41467-022-31679-5

Similar Items