DPG Phi
Verhandlungen
Verhandlungen
DPG

SAMOP 2023 – wissenschaftliches Programm

Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

QI: Fachverband Quanteninformation

QI 23: Poster II (joint session QI/Q)

QI 23.4: Poster

Mittwoch, 8. März 2023, 16:30–19:00, Empore Lichthof

Learning Quantum ProcessesKerstin Beer1, Dmytro Bondarenko1,2, Terry Farelly1, Younes Javanmard1, Tobias J. Osborne1, Debora Ramaciotti1, Nils Renziehausen1, Robert Salzmann1,3, •Viktoria-Sophie Schmiesing1, Robin Syring1, Nils Zolitschka1, and Ramona Wolf11Institut für theoretische Physik, Leibniz Universität Hannover — 2Stewart Blusson Quantum Matter Institute, University of British Columbia — 3Department of Applied Mathematics and Theoretical Physics, University of Cambridge

Machine learning and quantum computing are both emerging topics of research. In this poster, we tackle the issue of learning quantum processes. To do so, we use dissipative quantum neural networks.

100% | Mobil-Ansicht | English Version | Kontakt/Impressum/Datenschutz
DPG-Physik > DPG-Verhandlungen > 2023 > SAMOP