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Machine Learning with In-Physics Computing

November 7, 2022 - 11:00am
Dirk Englund
Massachusetts Institute of Technology

Abstract: This talk presents recent progress in photonic integrated circuits and solid-state artificial atoms for processing classical and quantum information in deep learning neural networks architectures. These developments can lead to faster and more energy-efficient computing architectures that solve problems with complexities beyond today’s systems.

Location: ATL 2400

JQI Seminars are held on Mondays during Fall and Spring semesters at 11:00 a.m. Eastern Time in Room 2400 of the Atlantic Building. University of Maryland affiliates may participate using Zoom. The seminars are also livestreamed on the JQI YouTube channel (, which supports audience participation in the chat interface.

At 4:00 pm there will be a tea time in ATL 2117 for our speaker and students - this is a chance for students to ask questions directly to our speaker. Refreshments will be served.