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

Quantum computing crucially relies on the ability to efficiently characterize the quantum states output by quantum hardware. Conventional methods which probe these states through direct measurements and classically computed correlations become computationally expensive when increasing the system siz...

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Detalles Bibliográficos
Autores principales: Herrmann, Johannes, Llima, Sergi Masot, Remm, Ants, Zapletal, Petr, McMahon, Nathan A., Scarato, Colin, Swiadek, François, Andersen, Christian Kraglund, Hellings, Christoph, Krinner, Sebastian, Lacroix, Nathan, Lazar, Stefania, Kerschbaum, Michael, Zanuz, Dante Colao, Norris, Graham J., Hartmann, Michael J., Wallraff, Andreas, Eichler, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288436/
https://www.ncbi.nlm.nih.gov/pubmed/35842418
http://dx.doi.org/10.1038/s41467-022-31679-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288436/
https://www.ncbi.nlm.nih.gov/pubmed/35842418
http://dx.doi.org/10.1038/s41467-022-31679-5

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