2024 MIT R&D Conference: Track 6 - Quantum 2.0 - Compiling Machine Intelligence onto (Quantum) Optoelectronic Systems

Conference Video|Duration: 19:07
November 19, 2024
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    Compiling Machine Intelligence onto (Quantum) Optoelectronic Systems
    Dirk Englund
    Associate Professor, MIT Department of Electrical Engineering and Computer Science

    The world of quantum mechanics holds enormous potential to address unsolved problems in communications, computation, precision measurements, and machine learning/AI. Dr. Englund's QP-Group at MIT pursues experimental and theoretical research towards machine learning hardware and critical quantum technologies (computing, networking, sensing) by precision control of photons and atomic systems, combining techniques from atomic physics, optoelectronics, and modern semiconductor devices. In this talk, Dr. Englund will share some of the latest research conducted by his group at MIT and their potential applications.

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  • Video details
     
    Compiling Machine Intelligence onto (Quantum) Optoelectronic Systems
    Dirk Englund
    Associate Professor, MIT Department of Electrical Engineering and Computer Science

    The world of quantum mechanics holds enormous potential to address unsolved problems in communications, computation, precision measurements, and machine learning/AI. Dr. Englund's QP-Group at MIT pursues experimental and theoretical research towards machine learning hardware and critical quantum technologies (computing, networking, sensing) by precision control of photons and atomic systems, combining techniques from atomic physics, optoelectronics, and modern semiconductor devices. In this talk, Dr. Englund will share some of the latest research conducted by his group at MIT and their potential applications.

Locked Interactive transcript