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Group Lead
About

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.

Hafezi Elected APS Fellow

JQI Fellow Mohammad Hafezi has been elected as a Fellow of the American Physical Society (APS). He was cited for “pioneering theoretical and experimental work in topological photonics and quantum synthetic matter.”

Compressed Sensing Measurement of Long-Range Correlated Noise (Short Talk + Pre-Print)

Long-range correlated errors can severely impact the performance of NISQ (noisy intermediate-scale quantum) devices, and fault-tolerant quantum computation. Characterizing these errors is important for improving the performance of these devices, via calibration and error correction, and to ensure correct interpretation of the results.

JQI Researchers Generate Tunable Twin Particles of Light

Identical twins might seem “indistinguishable,” but in the quantum world the word takes on a new level of meaning. While identical twins share many traits, the universe treats two indistinguishable quantum particles as intrinsically interchangeable. This opens the door for indistinguishable particles to interact in unique ways—such as in quantum interference—that are needed for quantum computers. While generating a crowd of photons—particles of light—is as easy as flipping a light switch, it’s trickier to make a pair of indistinguishable photons. And it takes yet more work to endow that pair with a quantum mechanical link known as entanglement. JQI researchers and their colleagues describe a new way to make entangled twin particles of light and to tune their properties using a method conveniently housed on a chip, a potential boon for quantum technologies that require a reliable source of well-tailored photon pairs.

Machine learning the thermodynamic arrow of time published in Nature Physics

The mechanism by which thermodynamics sets the direction of time’s arrow has long fascinated scientists. Here, we show that a machine learning algorithm can learn to discern the direction of time’s arrow when provided with a system’s microscopic trajectory as input. The performance of our algorithm matches fundamental bounds predicted by nonequilibrium statistical mechanics.

Simons Foundation Investigator Award

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 productive years, when they are establishing creative new research directions, providing leadership to the field and effectively mentoring junior scientists. Related JQI news

Optical imprinting of superlattices in two-dimensional materials published in PRR

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

Hafezi Wins 2020 Simons Foundation Investigator Award

JQI Fellow Mohammad Hafezi has been named a 2020 Simons Investigator in Physics by the New York-based Simons Foundation. Simons Investigator Awards in Mathematics, Physics, Astrophysics and Computer Science support outstanding theoretical scientists in their most productive years, when they are establishing creative new research directions, providing leadership to the field and effectively mentoring junior scientists.