“The whole is greater than the sum of its parts.” Aristotle’s saying also holds true in many systems studied in quantum physics. Mikhail Lemeshko investigates how macroscopic quantum phenomena emerge in ensembles of atoms and molecules.
How do energy levels of large quantum systems behave? What do the eigenvalues of a typical large matrix look like? Surprisingly, these two very different questions have the same answer!
The Computational Quantum Science Lab researches, develops, and promotes a broad range of advanced computational techniques to study quantum phenomena. Under the direction of Giuseppe Carleo, the methods developed at CQSL include innovative machine learning techniques to study Condensed Matter, Ultracold Atoms, Electronic Structure, as well as to characterize Quantum Devices. In addition to numerical approaches based on classical computers, novel algorithms to simulate quantum processes and suitable for near-term quantum devices are also being developed.
Department: Computer Science
Focus: Quantum algorithms & complexity theory
Head: Prof. Dr. Sevag Gharibian
Jointly with: Institute for Photonic Quantum Systems (PhoQS) @ Uni Paderborn
The Technology Innovation Institute (TII) in Abu Dhabi, United Arab Emirates, is a newly-established, top-funding state initiative that aims at becoming a major international hub for Science & Technology (https://www.tii.ae/). The Quantum Research Centre (QRC) at TII has recently launched world-class theoretical and experimental research groups on different quantum technologies (https://quantum.tii.ae/about-us-quantum).
The Quantum Dynamics and Control group at DPhyMS, University of Luxembourg, investigates dynamical properties of open quantum systems and develops protocols for their control. We combine analytical and numerical tools, mainly from quantum optics and stochastic analysis, to characterize processes such as decoherence, entanglement, and excitation transfer. The systems of interests are diverse and range from single toy models to chaotic systems and natural molecular aggregates.
Reseserch:
Scalable superconducting qubits (models, theory, and foundation),
Searching for new correspondences between information to physics, i.e. quantum thermodynamics,
Solid-state quantum devices, e.g. topological phase slip, photovoltaic cells, light-harvesting photosynthetic complexes, etc.,
Non-equilibrium quantum field theory,
Quantum Machine Learning,
Quantum field theory and non-equilibrium statistical physics,
Details can be found in:
https://sites.google.com/site/mansari/
