Quantum information science is a research area that investigates quantum systems as natural and fundamental building-blocks for transmitting, storing and processing information. It explores how to exploit quantum properties of light and matter in order to perform tasks of communication, computation and sensing in the most efficient and, sometimes, also completely secure fashion.
However, as quantum mechanics is probabilistic by nature and, moreover, quantum systems are very fragile—being vulnerable to any external noise—advanced statistical inference and signal processing techniques turn out to be essential in order to exploit the full potential of any real-life quantum device. Quantum inference theory studies how to tailor such data inference tools so that quantum properties of systems can be extensively benefited from.
Within the QI2 Lab we primarily work on quantum metrology and sensing tasks. We develop the fundamental theory of quantum estimation protocols in order to focus on their optical implementations, with a particular interest in quantum sensors based on atomic-spin ensembles.
We also seek novel practical solutions in quantum information tasks of cryptography and communication, while exploring the applicability of their state-of-art photonic implementations.
Last but not least, we work on software for quantum experiments—our aim is to create an open-source library that will encompass various “quantum-tailored” data inference tools (such as filtering, compressive sampling or machine learning) so that they can be directly implemented in quantum control and sensing experiments that involve continuous-time measurements.