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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.

Research

  • Quantum Simulation
  • Quantum optics meets correlated electrons hero image
  • Topological photonics hero image

Research Publications

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News

  • A young man with dark hair wearing a blazer and glasses appears in a restaurant setting.

    Pranshoo Updhyay receives two poster awards for his experimental work.

    February 24, 2026

    Hafezi Group member Pranshoo Upadhyay has won two poster awards at prestigious conferences for his work on utilising light in condensed matter physics: one at the SELEQ 2024 Conference in Donostia, Spain, and at the PQI 2025 Workshop - Scalable Analog Quantum Simulation Using Moire Superlattices in Pittsburgh, PA.

  • two layers of a chemical structure lie above each other with black balls hovering on top. On the top layer, there is a cyan ball with a white ball in the corresponding layer below

    Sudden Breakups of Monogamous Quantum Couples Surprise Researchers

    January 2, 2026

    To understand the properties of materials, it’s crucial to know about the interactions of the particles inside them. A recent experiment by JQI Fellow Mohammad Hafezi and his colleagues explored a new regime of quantum interactions and revealed what happens when you break up the normally monogamous relationships between certain quantum particles.

  • a graphic showing a chip with an array of rings that guides light and turns one color of light into many

    With Passive Approach, New Chips Reliably Unlock Color Conversion

    November 14, 2025

    Researchers at JQI have designed and tested new chips that reliably convert one color of light into a trio of hues. Remarkably, the chips all work without any active inputs or painstaking optimization—a major improvement over previous methods.

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