Quantum process tomography with unsupervised learning and tensor networks

The impressive pace of advance of quantum technology calls for robust and scalable techniques for the characterization and validation of quantum hardware. Quantum process tomography, the reconstruction of an unknown quantum channel from measurement data, remains the quintessential primitive to compl...

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Detalles Bibliográficos
Autores principales: Torlai, Giacomo, Wood, Christopher J., Acharya, Atithi, Carleo, Giuseppe, Carrasquilla, Juan, Aolita, Leandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199030/
https://www.ncbi.nlm.nih.gov/pubmed/37208324
http://dx.doi.org/10.1038/s41467-023-38332-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199030/
https://www.ncbi.nlm.nih.gov/pubmed/37208324
http://dx.doi.org/10.1038/s41467-023-38332-9

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