In a Nature Perspective, we highlight a paradigm based on controlling light–matter interactions that provides a way to manipulate and synthesize strongly correlated quantum matter. Photon-mediated superconductivity, cavity fractional quantum Hall physics and optically driven topological phenomena in low dimensions are among the frontiers discussed in this Perspective.
-
-
-
Machine learning in quantum systems
-
Our group aims to theoretically and experimentally investigate various quantum properties of light-matter interaction for applications in future optoelectronic devices, quantum information processing, and sensing. Moreover, we explore associated fundamental phenomena, such as many-body physics, that could emerge in such physical systems. Our research is at the interface of quantum optics, condensed matter physics, quantum information sciences, and more recently, machine learning.
Research Areas
Group News
-
July 04, 2022
-
June 23, 2022
Recent progress on quantum random sampling protocols such as random circuit sampling (interacting) and boson sampling (non-interacting) demonstrate an advantage of quantum information processing. Is there an intermediately interacting regime where the random sampling becomes intractable in a classical setting and becomes feasible on a quantum device? We found that such an intermediately interacting regime could be feasibly utilized by a generalization of current boson sampling protocols.
-
October 05, 2021
Recent advances in realizing optical frequency combs using nonlinear parametric processes in integrated photonic resonators have revolutionized on-chip optical clocks, spectroscopy and multichannel optical communications.
-
September 08, 2021
Long-range correlated errors can severely impact the performance of NISQ (noisy intermediate-scale quantum) devices, and fault-tolerant quantum computation.
-
June 02, 2021
Sources of quantum light, in particular correlated photon pairs that are indistinguishable for all degrees of freedom, are the fundamental resource for photonic quantum computation and simulation.