PhD scholarship in electronic engineering for quantum science and technologies at IPL, University of Trieste: Quantum technologies
 |
 |
 |
Introduction
Technological applications of modern quantum sciences have already shown unprecedented potential for revolutionizing a variety of sectors, including telecommunications, computing, sensing and precision measurements. The last decades have seen exciting progress in our capability to analyze and manipulate physical systems at the quantum level, making it possible to experimentally investigate fundamental quantum phenomena and to engineer novel devices able to outperform their classical counterparts. In this context, any emerging experimental quantum platform must be underpinned by innovative engineering approaches in terms of accurate and optimized signal processing and system integration, both at the hardware and software level.Research program
The doctoral programme in Industrial and Information Engineering the University of Trieste offers a fully funded PhD scholarship for motivated students who are willing to advance the hardware and software infrastructure needed for next generation experiments in quantum science and technology. The scholarship is funded by the EU project “QUID: Quantum Italy Deployment” as part of the European Quantum Communication Infrastructure (EuroQCI) initiative and by the University of Trieste. The selected candidate will start her/his activity in November 2023.The University of Trieste hosts a rapidly evolving experimental research activity in quantum optics, quantum communication, and quantum simulation. Active research lines are focused on ultracold atomic systems in the ArQuS laboratory (Prof. Francesco Scazza), and on optical secure communications in the QCI laboratory (Dr. Alessandro Zavatta) at CNR-INO, in collaboration with the Instrumentation and Detectors Laboratory at Elettra Sincrotrone (Dr. Giuseppe Cautero).
Quantum technology laboratories are renowned for requiring a large and mixed set of (digital and analog) signal processors to: manage and schedule the experiments, drive distributed devices in real time, and analyze- display-archive the results. The PhD student will thus work at the interface between the logic layer and the physical quantum layer of the experiments, having the unique possibility to learn a diversified and multi-disciplinary set of skills across quantum information and engineering.
