Přednášky a semináře

Lecture: Selected Applications of Machine Learning in Quantum Optics

The identification of the nonclassical nature of multiphoton quantum states represents a task of utmost importance in the development of most quantum photonic technologies. Under realistic experimental conditions, a photonic quantum state is affected by its interaction with several non-ideal opto-electronic devices, including those used to guide, detect or characterize it.

The result of such a noisy interaction is that the nonclassical features of the original quantum state are considerably reduced or are completely absent in the detected, final state. In this lecture, we will discuss how the self-learning features of artificial neural networks can be exploited to assess the nonclassicality of multiphoton quantum states even in the cases in which the nonclassical features are concealed by the measuring device. Since the process of detection plays a crucial role in the identification of the nonclassicality of multiphoton quantum states, it will be shown that a similar approach can be used to characterize the detection device itself.

Program:

• 10:00 – 11:00  Lecture
• 11:00 – 12:00  Lunch & networking

The event is supported by the Strategy AV21 programme and will provide a space to foster connections that enrich academic debate. Join us for a light lunch after the session to continue the discussion. We look forward to your presence and active participation.

Speaker: Mgr. Radek Machulka, Ph.D., FZU