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Q: Fachverband Quantenoptik und Photonik
Q 43: QI Poster II (joint session QI/Q)
Q 43.4: Poster
Wednesday, March 8, 2023, 16:30–19:00, Empore Lichthof
Learning Quantum Processes — Kerstin 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 Wolf1 — 1Institut 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.