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Events for June 10, 2019
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Meet USC: Admission Presentation, Campus Tour, and Engineering TalkMon, Jun 10, 2019
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
This half day program is designed for prospective freshmen (HS juniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.
Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.
Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!
RSVPLocation: Ronald Tutor Campus Center (TCC) - USC Admission Office
Audiences: Everyone Is Invited
Contact: Viterbi Admission
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Jonathan Habif, Monday, June 10th at 2pm in EEB 248
Mon, Jun 10, 2019 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jonathan Habif, Research Scientist at ISI Waltham
Talk Title: The Laboratory for Quantum-Limited Information: Optical Sensing at the Quantum Limit
Abstract: In this talk I will begin by introducing the Laboratory for Quantum-Limited Information (QLIlab), part of the USC Information Sciences Institute. QLIlab is focused on understanding the fundamental limits for extracting information from physical signals in photon-starved sensing and communications settings and demonstrating the capability to achieve these limits with novel designs for optical receivers. As an example, I will present our theoretical and experimental work on quantum-limited discrimination of photon-starved classical states. In this work the fundamental quantum limit for discriminating between thermal and coherent (laser) light is calculated, along with the error-probability for discrimination that can be achieved by using traditional optical receivers. The Generalized-Kennedy (GK) receiver is shown to have near optimal performance for this discrimination task. The GK receiver has been constructed in the laboratory and shown to out-perform theoretical limits from direct and coherent detection optical receivers. Finally, I will describe how this work will be extended to broader classes of sensing and communications challenges, including passive imaging and weak coherent signals buried in bright noise. A key goal for this talk is to engage with the audience to identify new optical and opto-electronic technologies that can help to realize optical receivers operating at the quantum limit of sensitivity, and ultimately miniaturize the systems so they can be transitioned up the technology readiness level scale.
Biography: Dr. Jonathan L. Habif is an experimental physicist and research lead at the University of Southern California Information Sciences Institute (ISI). His research has focused on photon-starved, classical communication and imaging, quantum-secured optical communications in free-space and fiber, and integrated nano-photonics for both classical and non-classical applications. Prior to joining ISI, Dr. Habif was with BBN technologies where he served as principal investigator for a number of DARPA-sponsored research programs, partnering with university collaborators to demonstrate revolutionary optical technologies impacting traditional communications, sensing and computation systems.
Dr. Habif earned a Ph.D. from the University of Rochester in the field of superconducting quantum computing and continued this course of research as a postdoctoral associate at MIT.
Host: ECE-Electrophysics
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
