Candy! Candy! Candy! Costumes are welcome. No RSVP necessary.

Dr. Alex Mullins, the Assistant Director of Physical Sciences at Duke OTC, joins us with advice for engineering PhD students as they conceive and reduce to practice their new ideas and technologies, with an emphasis on "Protecting Your IP".

Rydberg atoms in fundamental physics and quantum-technology applications Georg Raithel, Professor of Physics, University of Michigan Rydberg atoms, which are atoms with a tenuously bound valence electron, are highly sensitive to external electromagnetic fields and to other atoms. Fundamental work on cold Rydberg atoms and ions includes the study of molecular bonding based on low-energy […]

This workshop aims to help graduate students overcome intercultural barriers and build strong relationships across diverse cultures and engineering disciplines. Participants will engage in activities to explore their own cultural lens and develop plans to expand their networks beyond their own communities. Whether you're a seasoned networker or just starting out, this workshop provides actionable […]

Learn how to ace your engineering interview with our virtual workshop! This session is open to students in any Pratt Masters of Engineering Program and will include: • Core concepts and algorithms frequently tested in technical interviews • Hands-on coding exercises that simulate real interview scenarios • Tips for effective communication with Interviewers • Common […]

Come and join us for a demo of Forage! In this workshop we'll be giving an overview of our platform, answering any questions, and giving examples of how our simulations help students bridge the gap between the classroom and the world of work. Hope to see you there!

Duke Quantum Center Seminar Series

Abstract The talk will be self-contained and no background on conformal prediction is required. Conformal prediction is a mathematical framework for uncertainty quantification of machine learning models. Originated from Statistics, this framework is now considered as one of the main tools for constructing uncertainty sets around the predictions obtained by modern machine learning models such […]

During the busiest time of the semester, stress increases and rises. Learn how to cope and manage it in healthy ways and the engineering graduate and professional students' shared experiences.

Listen to Professor Andrew Shoffstall discuss his research in the last Neural Engineering Seminar of the semester. Come early for cookies, coffee, and conversation

This is an intimate discussion and Q&A with Dr. Nikpour about her experience in the start-up world.

Saba Nikpour, PharmD, who is a partner at Strategy Consulting & Business Development (Healthcare & Life Sciences Tech Advisory), will be advising on her journey post-PhD in the start-up world.

Among the principal challenge facing scalability in ion trap quantum computers is the full integration of optics, digital electronics, and through-wafer vias into the trap chip. I will discuss Oxford Ionics' strategy for developing ion trap quantum computers with 100s-1000s of ions, then describe some of the methodologies for designing large-scale ion trap electrode structures […]

Duke Quantum Center Seminar Series

Pratt Graduate and Professional students are invited to join us for a traditional Thanksgiving dinner complete with turkey and all the fixings! Registration required.

Parameterized quantum circuits serve as ansätze for solving variational problems and provide a flexible paradigm for programming near-term quantum computers. Here we discuss three fundamental criteria for this paradigm to be effective: expressibility, trainability and generalisability. We will introduce these concepts and present recent analytic progress quantifying to what extent these criteria can be achieved. […]