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.
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Machine learning in quantum systems
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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
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October 05, 2021
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September 08, 2021
Long-range correlated errors can severely impact the performance of NISQ (noisy intermediate-scale quantum) devices, and fault-tolerant quantum computation.
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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.
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December 31, 2020
The mechanism by which thermodynamics sets the direction of time’s arrow has long fascinated scientists.
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October 14, 2020
The New York-based Simons Foundation will be supporting our group activities for the next five years. Simons Investigator Awards in Mathematics, Physics, Astrophysics and Computer Science support outstanding theoretical scientists in their most prod