SUNMONTUEWEDTHUFRISAT
Events for November 01, 2024
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MHI - Physics Joint Seminar Series - Yogesh Joglekar, Friday, Nov. 1st at 2pm in SSL 202
Fri, Nov 01, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Yogesh Joglekar, Professor of Physics, Indiana University
Talk Title: Non-Hermitian quantum dynamics: super quantum correlations and breaking the quantum speed limit
Series: MHI Physics Joint Seminar Series
Abstract: Quantum theory provides rules governing much of the microscopic world. It dictates unitarity for isolated systems that when coupled to an environment, undergo decoherence. Among its counter-intuitive consequences are temporal (Leggett-Garg) correlations that exceed the bounds from local, classical theories. In the simplest system - a single qubit - LG correlations are bounded below 1.5 for unitary and decohering dynamics, with excess over 1 indicating "quantumness". Fundamentally, these bounds arise due to limits on the speed at which a quantum state can evolve into an orthogonal one. In recent years, quantum systems undergoing coherent but non-unitary evolution have emerged. They are governed by non-Hermitian, parity-time (PT) symmetric Hamiltonians with exceptional point degeneracies. After a short review of such systems, I will present results for PT-symmetry breaking, temporal correlations that exceed the LG bound of 1.5, and quantum state-transfers that exceed the quantum speed limit in a single trapped ion (arXiv:2304.12413, PRA 108, 032202 (2023)).*Work done with David Allcock group (University of Oregon) and Sourin Das group (IISER, Kolkata).
Biography: Yogesh Joglekar is an experimentally-minded theoretical physicist. After initial training and some time in condensed matter physics, he started moonlighting in the area of PT symmetry with the help of high-school students. They have helped him see how PT symmetry emerges in disparate platforms such as a single LC circuit or a vibrating tank of water. His primary area of research is open classical and quantum systems. He usually has far more questions than answers.
Host: Mercedeh Khajavikhan & Demetri Christodoulides
More Information: Yogesh Joglekar Flyer.pdf
Location: Seaver Science Library (SSL) - 202
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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MHI ISSS Seminar - Dr. Xuan "Silvia" Zhang, Friday, Nov. 1st at 2pm in EEB 132
Fri, Nov 01, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Xuan "Silvia" Zhang, Associate Professor, Northeastern University
Talk Title: Foundational AI Framework for Automated Synthesis of Analog Integrated Circuits
Series: Integrated Systems
Abstract: Artificial intelligence (AI) and machine learning (ML) technologies have profoundly reshaped our world, manifesting their prowess in perception, knowledge generation, and decision making. In a similar fashion, AI/ML will undoubtedly be a disruptive force to revolutionize the IC design process. Due to their labor-intensive nature, analog and radio frequency (RF) circuits take a disproportionate share in design cost and could therefore benefit tremendously from automation. In this talk, I will present the recent work from my lab towards the goal of building a foundational AI framework for analog IC design automation. I will first introduce our deep learning-based method to automate parameter optimization in analog/RF circuits with a unique domain knowledge-infused approach. This method is then expanded to provide robustness and sampling efficiency against design variations caused by process, voltage, and temperature (PVT). Next, I will briefly talk about CktGNN, our hierarchical graph neural network-based approach to synthesizing circuit topology and the first of its kind that leads to the construction of an open-sourced analog circuit dataset (https://github.com/zehao-dong/CktGNN). Finally, I will conclude the talk with a vision statement and roadmap for future AI-driven design automation.
Biography: Dr. Xuan Zhang is an Associate Professor in the Electrical and Computer Engineering Department at Northeastern University. She works across the fields of integrated circuits/VLSI design, computer architecture, and electronic design automation. Dr. Zhang is an IEEE Women in Engineering (WiE) Distinguished Lecturer for 2023-2024, IEEE Circuits and Systems Society (CAS) Distinguished Lecturer for 2022-2023, and the recipient of NSF CAREER Award in 2020. She currently serves as the Associate Editor-in-Chief at IEEE Transactions on Circuits and Systems I (TCAS-I) and Associate Editor at IEEE Transactions on Computer-Aided Designs (TCAD). Her work has received numerous best paper awards and nominations including ISLPED Best Paper Award in 2022, AsianHOST Best Paper Award in 2020, DATE Best Paper Award in 2019, and Best Paper nominations at DAC 2022, ASP-DAC 2021, MLCAD 2020, DATE 2019, and DAC 2017.
Host: MHI - ISSS, Hashemi, Chen and Sideris
More Info: https://usc.zoom.us/j/92564669688
More Information: MHI_Seminar_Flyer_Zhang_Nov1_2024.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: https://usc.zoom.us/j/92564669688
