Berlin 2024 – scientific programme

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QI: Fachverband Quanteninformation

QI 18: Poster II

QI 18.16: Poster

Wednesday, March 20, 2024, 11:00–14:30, Poster A

Optical reservoir computing with non-classical states of light — •Lukas Porstendorfer, Steffen Wilksen, Frederik Lohof, and Christopher Gies — Institute for Theoretical Physics, University of Bremen, 28359 Bremen, Germany

Optical reservoir computers (ORC) are physical computational networks that use a complex dynamical system to map inputs into higher dimensional spaces using a large number of optical modes. The ORC has a low computational learning cost, as only the output weights of the network are trained, while still being able to solve tasks such as pattern recognition or chaotic time series prediction. While recent experimental implementations of ORC often used inputs of light in the classical regime, we aim to study the influence of non-classical inputs on the computational efficiency of the ORC to harness the indistinguishability of the quantum particles. With this we aim to explore how quantum effects, such as two-photon interference, influence or even improve the performance of the reservoir.

Keywords: Reservoir computing; Photonic networks; Non-classical light; Quantum machine learning