Deep learning-based variational autoencoder for classification of quantum and classical states of light

no code implementations • 8 May 2024 • Mahesh Bhupati, Abhishek Mall, Anshuman Kumar, Pankaj K. Jha

Advancements in optical quantum technologies have been enabled by the generation, manipulation, and characterization of light, with identification based on its photon statistics.

Classification Transfer Learning +1

The 2021 Quantum Materials Roadmap

no code implementations • 4 Feb 2021 • Feliciano Giustino, Jin Hong Lee, Felix Trier, Manuel Bibes, Stephen M Winter, Roser Valentí, Young-Woo Son, Louis Taillefer, Christoph Heil, Adriana I. Figueroa, Bernard Plaçais, QuanSheng Wu, Oleg V. Yazyev, Erik P. A. M. Bakkers, Jesper Nygård, Pol Forn-Diaz, Silvano De Franceschi, J. W. McIver, L. E. F. Foa Torres, Tony Low, Anshuman Kumar, Regina Galceran, Sergio O. Valenzuela, Marius V. Costache, Aurélien Manchon, Eun-Ah Kim, Gabriel R Schleder, Adalberto Fazzio, Stephan Roche

In recent years, the notion of Quantum Materials has emerged as a powerful unifying concept across diverse fields of science and engineering, from condensed-matter and cold atom physics to materials science and quantum computing.

Mesoscale and Nanoscale Physics Materials Science Strongly Correlated Electrons Superconductivity Quantum Physics