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Machine Learning with In-Physics Computing

November 7, 2022 - 11:00am
Speaker: 
Dirk Englund
Institution: 
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 (https://www.youtube.com/user/JQInews), 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.