Theory Seminar: Quantum Photonics for Quantum Machine Learning, Secure Computing, and Precision Measurements

Prof. Philip Walther (Universität Wien)
This talk presents recent experimental demonstrations that use integrated nanophotonic processors for various quantum computations such as quantum machine learning and in particular reinforcement learning, where agents interact with environments by exchanging signals via a communication channel.

Abstract:

This talk presents recent experimental demonstrations that use integrated nanophotonic processors for various quantum computations such as quantum machine learning and in particular reinforcement learning, where agents interact with environments by exchanging signals via a communication channel. We show that this exchange allows boosting the learning of the agent. Another experiment underlines the feasibility of photonic quantum system for so-called probabilistic one-time programs that allow for secure classical computation tasks.

At the end I will briefly discuss the current progress of performing interferometric precision measurements using single and entangled photons for investigating the interface of quantum physics and gravity. As outlook I will discuss technological challenges for the scale up of photonic quantum computers, and our group’s current work for addressing some of those.

If you'd like to participate in the seminar, please contact us!