The mechanism by which thermodynamics sets the direction of time’s arrow has long fascinated scientists.
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Machine learning in quantum systems
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Recent advances in nanophotonic devices have enabled a variety of new technologies, including light-based classical information processing as a promising alternative to electronic signals in future circuits, non-classical light generation, and potential avenues for quantum information sciences. 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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December 31, 2020
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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
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October 07, 2020
Recently, superlattice structures in two-dimensional materials, such as Moire patterns, have drawn wide interests. While most of the pre-existing methods create superlattice in passive ways, we proposed an optical method of shining circularly polarized and spatially periodic laser fields
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June 19, 2020
We proposed a new method for enhancing superconductivity in cuprates via melting the collective fluctuations of the competing orders.
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February 27, 2020
From 2017, Google has been giving the award called the Google Noisy Intermediate-Scale Quantum (NISQ) award for the academic researchers who collaborated with Google's quantum computing development teams.