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QI: Fachverband Quanteninformation

QI 4: Quantum Computing and Simulation (joint session Q/QI)

QI 4.6: Vortrag

Montag, 6. März 2023, 12:15–12:30, E214

Physical computing with a superfluid — Maurus Hans¹, •Elinor Kath¹, Marius Sparn¹, Nikolas Liebster¹, Felix Draxler², Helmut Strobel¹, and Markus Oberthaler¹ — ¹Kirchhoff-Institut für Physik, Universität Heidelberg, Germany — ²Interdisziplinäres Zentrum für Wissenschaftliches Rechnen, Universität Heidelberg, Germany

We report on the implementation of a hybrid neural network with a physical system. As a proof-of-concept we implement the regression and interpolation of a non-linear, one-dimensional function. A digital micromirror device is used to prepare an elongated atomic cloud and encode input values by imprinting a phase profile onto the superfluid. Its non-linear response is detected by the observation of the density distribution, from which the output value is generated by a trained linear layer. We compare the performance of this hybrid neural network for different parameters and give an outlook for further directions.