Combining state of the art optimization and machine learning techniques with high speed electromagnetic solvers offers a new approach to “inverse” design and implement classical and quantum photonic circuits with superior properties, including robustness to errors in fabrication and temperature, compact footprints, novel functionalities, and high efficiencies.

Jelena Vuckovic is a professor at Stanford, where she leads the Nanoscale and Quantum Photonics Lab. She is also the director of Q-FARM: the Stanford-SLAC Quantum Initiative. Vuckovic has won numerous awards including the IET AF Harvey Prize, Humboldt Prize, the Distinguished Scholar Award from the Max Planck Institute for Quantum Optics, Hans Fischer Senior Fellowship, the Presidential Early Career Award for Scientists and Engineers, and the Young Investigator Awards from DARPA and the Office of Naval Research. She is a Fellow of the American Physical Society (APS), of the Optical Society of America (OSA), and of the Institute of Electronics and Electrical Engineers (IEEE).

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