Marzena Szymanska

Prof Szymanska's research interests include far from equilibrium quantum collective phenomena; Dissipative and driven quantum systems; Light-matter systems; Quantum condensation and superfluidity; Semiconductor microcavities, excitons, polaritons; circuit and cavity QED systems; ultra-cold atomic gases and Feshbach resonances.


Reproduced from an Article by Joshua Howgego Scientists have discovered a way to better exploit a process that could revolutionise
A pathway to creating low-resistance Ohmic contacts at nanoscale has been reported in Advanced Materials this week; a development
By introducing individual silicon atom ‘defects’ using a scanning tunnelling microscope, scientists at the London Centre...
Novel flexible, lightweight and low cost “plastic” electronics, including OLEDs and organic solar cells, rely on semiconducting...
Traditionally, phosphorus and arsenic atoms have been used as donors in silicon, donating electrons that make up the current that

John Morton

Prof Morton's research takes spins of electrons and nuclei in a range of nano-scale materials and devices to develop a new generation of quantum technologies, including quantum sensors, quantum memories, and quantum computers. Prof Morton is the Director of the UCL Quantum Science and Technology Institute.


Jeroen Elzerman

Dr Elzerman's current research centres around solid-state quantum photonics. His group uses laser light to manipulate the quantum state of electronic and nuclear spins in semiconductor nanostructures.


In a collaboration with Waseda University in Tokyo, LCN researchers have grown highly boron doped diamond layers only 1nm in thick

Andrew G. Green

Prof Green is interested in the equilibrium and out-of-equilibrium strongly correlated quantum systems. This encompasses fundamental properties of natural and manufactured materials, the effort to harness quantum mechanics for information processing, and the overlap of the latter with machine learning. He uses a range of tools, including analytical and numerical techniques drawn from quantum field theory and tensor networks.