To communicate and exchange resources
Our recent result demonstrates an ultra-fast multi-channel coincidence counting unit with full channel-number resolution, which meets the requirements of cutting-edge photonic experiments.
Dominik Koutný presented a talk on Deep learning of quantum entanglement as part of the Hot Topics Session at the POM23 Photonics Meetup. For more details see published paper: 10.1126/sciadv.add7131. We also presented a number of posters: R. Stárek, M.
We are thrilled to share our research on the quantification of quantum entanglement using artificial neural networks. Our approach allows us to accurately measure entanglement without requiring complete knowledge of the quantum state. By leveraging neural networks, we achieve a
Anežka and Filip defended their Master theses with distinction. Congratulations!
Our research revealed anomalous nonlinear effects in single-photon detectors, challenging established theories. Understanding and fully characterizing these effects will significantly enhance measurement accuracy in various scientific and technological applications. The results were published in Applied Physics Reviews. The preprint is
Quantum processors and sensors promise to outperform their classical counterparts. Still, they require classical control signals, which affect their operation in a highly nontrivial way. An example: electrical voltages controlling a photonic chip or a superconducting circuit. We developed a
Josef Hloušek defended his PhD thesis titled Photon-number-resolving detectors and their applications in quantum optics. Congratulations! The key results of his work: J. Hloušek, I. Straka, M. Ježek, Experimental observation of anomalous supralinear response of single-photon detectors, arXiv:2109.08347. J. Hloušek,
Tříkrálová konference Olomouc 2022 – živé pokračování online setkání mladých českých a slovenských fyziků
In our new work published in Optics Express, we present a calibration method for twisted nematic liquid crystals (TNLCs) that allows accurate polarization manipulation. The calibration method does not require knowledge of parameters or a model of the constituent TNLC
Dominik Koutný and Dominik Vašinka from our group will present video posters at the MLQ2021. The goal of this online conference, taking place March 1-5, 2021, is to bring together quantum physicists with experts in computer science and machine learning,