Mainz 2026 – wissenschaftliches Programm

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PV: Plenarvorträge

PV XIX

PV XIX: Plenarvortrag

Freitag, 6. März 2026, 09:45–10:30, RW 1

Quantum Photonics for Quantum Computing and Machine Learning — •Philip Walther — University of Vienna, Faculty of Physics, Vienna Center for Quantum Science and Technology (VCQ), Vienna, Austria

After providing a brief overview of recent advancements in the generation and processing of multi-photon states, I will show the potential of photonic quantum machine learning. After presenting a quantum-enhanced reinforcement learning using a tunable integrated processor, I will discuss our development of a so-called quantum memristor for single photons. These devices, which can mimic the behavior of neurons and synapses, hold great promise for the realization of quantum neural networks. I will also present how photonic processors can implementing quantum-enhanced kernels for machine learning tasks. At the end I will change topic by briefly discussing the flexibility of photonic systems for tasks that require non-standard quantum computer architectures; and potentially update about our ongoing experimental research aiming to explore the interface between quantum mechanics and general relativity by performing high-precision experiments using entangled photon states as probe.

Keywords: quantum photonics; quantum machine learning; quantum computing