In her work, Rebeka Zrníková focused on the experimental implementation of digital holographic microscopy for live cell observation and the analysis of reconstructed images. Aleš Marák developed deep neural networks capable of quantifying key features of quantum states directly from
Advances in Quantum Light State Engineering
Adding Photons Without the Noise — Our team has made a significant breakthrough by experimentally preparing multiphoton-added coherent states of light, a key development in optical quantum state engineering. The findings, published in npj Quantum Information, highlight demonstrating the addition
Werner von Siemens Award goes to Dominik Vašinka
Our student, Dominik Vašinka, has been awarded the prestigious Werner von Siemens Award 2023 for his Master thesis and advancement of quantum control through artificial intelligence. His innovative approach tackles the longstanding challenge of optimal control for a variety of
Top-notch coincidence counting: Unveiling an ultra-fast multi-channel CCU for cutting-edge photonic experiments
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.
QOLO presentations at the POM23 Photonics Meetup
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.
Quantum physics meets AI: Neural networks decode quantum entanglement
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
Congratulations to M.S. Anežka Dostálová and M.S. Filip Juráň
Anežka and Filip defended their Master theses with distinction. Congratulations!
Exploring new frontiers in single-photon detectors: Unveiling surprising nonlinear effects
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
Machine learning for optimal control of quantum devices
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
Congratulations to Dr. Josef Hloušek
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,