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Quantum/Physics Joint seminar, Ofer Naaman, Tuesday, April 29th at 4pm in EEB 248 & Zoom
Tue, Apr 29, 2025 @ 04:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Ofer Naaman, Research Scientist Google Quantum AI
Talk Title: Quantum computing at Google
Series: Quantum/Physics Joint Seminar Series
Abstract: Google Quantum AI's mission is to build a useful quantum computer. In this talk I will review Google's approach to quantum computing, and our roadmap to building a useful machine based on superconducting qubits. I will highlight milestone experiments along our roadmap, demonstrating beyond-classical computation and quantum error correction, and some of the multidisciplinary technical challenges we are addressing toward a long-lived error-corrected logical qubit.
Biography: Ofer Naaman (he/him) is a research scientist with Google Quantum AI, where he leads the readout hardware team. Ofer holds a BSc degree from Tel Aviv University and a PhD in physics from UC San Diego. Prior to joining Google, Ofer was at NIST Boulder, UC Berkeley, and Northrop Grumman, where he has worked on topics ranging from single-electron transistors, quantum computing, and parametric amplifiers, to superconducting logic and cryogenic memory. He authored and co-authored 55+ papers and 25+ patents, is a member of APS, and an IEEE MTT-S senior member.
Host: Quntao Zhuang, Eli Levenson-Falk, Jonathan Habif, Daniel Lidar, Kelly Luo,k Todd Brun, Tony Levi, Stephan Haas
More Info: https://usc.zoom.us/j/96507214109?pwd=KAEOiIOoBtpCVDywfI13CKtiPKCnZg.1
More Information: Ofer Naaman Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: https://usc.zoom.us/j/96507214109?pwd=KAEOiIOoBtpCVDywfI13CKtiPKCnZg.1
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
