Grainger College of Engineering, All Events

Abstract: Entanglement is a uniquely quantum resource with no classical counterpart, enabling information processing and measurement capabilities beyond the limits imposed by classical physics. In this talk, I will discuss how entanglement, together with AI-assisted quantum engineering, can enhance precision sensing across both centralized and distributed measurement regimes. I will first introduce two complementary sensing paradigms that exploit entanglement to improve sensitivity, bandwidth, and measurement efficiency. The first harnesses entanglement across different spectral lines in an optical frequency comb to reduce integration time in dual-comb spectroscopy for gas sensing. The second employs entanglement shared among spatially separated sensors to improve networked measurement tasks, including distributed radiofrequency and force sensing for gradient and average-amplitude estimation. These examples illustrate how entanglement can deliver clear advantages over classical and separable sensor architectures.

Bio: Dr. Zheshen Zhang is an Associate Professor of Electrical Engineering and Computer Science at University of Michigan–Ann Arbor. Prior to joining University of Michigan, Dr. Zhang was an Assistant Professor at University of Arizona, a Research Scientist, and a Postdoctoral Associate at MIT. Dr. Zhang received his PhD degree in Electrical and Computer Engineering from Georgia Tech. Dr. Zhang's research encompasses a broad spectrum of quantum networks, quantum communications, quantum sensing, and quantum computing.  His work was recognized by an NSF CAREER Award in 2022 and the Ernest & Bettine Kuh Distinguished Faculty Award in 2025. Dr. Zhang currently serves on the Editorial Board of Progress in Quantum Electronics of Elsevier.

To watch online, go to the IQUIST YouTube channel:   https://www.youtube.com/channel/UCCzAySwQXF8J4kRolUzg2ww