We are a research group at Peter Gruenberg Institute to investigate the interplay between information and physics in quantum systems.
Research on Quantum Machine Learning.
Research Topics:
- Quantum Engineering and Information: Transport phenomena in open quantum systems, classical simulation of quantum systems, full counting statistics, quantum effects in biological systems, and entanglement features.
- Statistical Physics: theory of phase transitions and critical phenomena, nonequilibrium steady states, interfaces, neurophysics and other interdisciplinary applications.
- Computational Physics: Monte Carlo and Molecular Dynamics methods, numerical analysis, model and simulation of systems and processes.
We develop and use Tensor Networks to attack the quantum many body problem
The CQNE at The University of Nottingham is as focal point for fundamental and theoretical research in the dynamics and control of complex quantum systems.
The aim of the Centre is to provide a framework for common activities such as seminars, workshops, international conferences, and specialised postgraduate training.
The Centre is open to academic members of the University conducting research in related areas.
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