Quantum Theory Group in Palermo
We are a large team, based in the Department of Physics and Chemistry at the University of Palermo, exploring the theory of quantum systems and processes.
Theory of quantum systems and processes, with an eye on experiments
We address frontier questions in the engineering, control, characterisation and exploitation of quantum states and resources. The expertise of the members of our group spans a large range of topics, from Quantum Optics to Condensed Matter and Statistical Physics, from Quantum Information Processing to Open System Dynamics and Artificial Intelligence. We also enjoy exploring the intricacies of the foundations of quantum mechanics from an information theoretic standpoint.
A key aim of our research is the development of theoretical frameworks of prompt experimental translation to understand the interplay between quantum resources, non-equilibrium physics, and control.
While pursuing these goals, we interact with some of the leading experimental teams addressing photonics, optomechanics, cold atom, and semiconductor-based platforms. Get in touch with us if you are interested in our research and to explore potentials for collaborations!
What we work on
7 research lines, each with its own people, papers and projects.
Quantum Thermodynamics
Quantum thermodynamics marries the well-established laws of thermodynamics, which describe heat and work, with the powerful, yet different, framework of quantum mechanics.
Quantum Information Theory
Quantum Information Theory explores the intersection of quantum mechanics and information theory.
Quantum Metrology
Metrology is the cornerstone of science which investigates the accuracy by which any given physical quantity can be measured.
Waveguide QED
Modifying the electromagnetic field can deeply affect atom-photon interactions, leading to spectacular effects such as the emission and full reabsorption of a photon in a cavity, a longstanding effect of quantum optics.
Quantum Materials
This research line in quantum materials focuses on the interaction between these materials and light, whether in the form of quantized photons in cavity quantum electrodynamics (QED) setups or classical laser fields.
Quantum Machine Learning
Quantum machine learning studies the intersection between machine learning and quantum information theory, focusing both on how quantum computation can speed-up tasks typically handle by machine learning, and how classical machine learning can further our understanding of quantum information science.
Quantum Foundations
Our description of reality depends heavily on the lens through which we observe it.
Latest papers
241 papers and preprints since 2017. Names of group members are highlighted.
Recent events
Conferences, workshops and schools organised by the group.
Conference
Workshop
ConferenceFunded research projects
National and European projects led by, or involving, members of the group.
Harnessing topological phases for quantum technologies
PRIN — funded by the European Union, NextGenerationEU
Join the group
We have openings for postdocs, PhD and MSc students. Researchers whose profile ties in with our research agenda are welcome to get in touch at any time.
- How to applyWhat to send, and where
- Open calls at UniPaOfficial calls for positions and fellowships
- Write to usquantum@unipa.it
