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ESE Spring Seminar – “Learning and controlling noisy quantum systems”

March 12 at 11:00 AM - 12:00 PM

Two of the main challenges in scaling up quantum systems are noise and control, arising from the systems’ sensitivity to the environment and its exponential complexity. The first step in resolving these challenges is characterizing and learning the noisy dynamics. In this talk, I’ll discuss how the very quantum features that contribute to this complexity, such as entanglement, can actually enhance our ability to learn quantum processes. I’ll then show how, by using information about noise and its interactions with controls, we can efficiently suppress noise processes on a large scale when executing quantum programs. Additionally, I’ll highlight the advantages of newly developed adaptive control techniques with dynamic circuits for performing long-range entangling operations faster and with greater fidelity than non-adaptive circuits. Finally, I’ll discuss future directions and open questions in understanding noisy quantum systems.

Alireza Seif

Research Scientist, IBM Quantum

Alireza Seif is a Research Scientist at IBM. He received his Ph.D. in Physics from the University of Maryland, where he conducted research at the Joint Quantum Institute. After completing his Ph.D., he joined the University of Chicago as a Prize Postdoctoral Fellow in Theoretical Quantum Sciences. His research interests include quantum optics, quantum information theory, and the application of machine learning in physics.


March 12
11:00 AM - 12:00 PM
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Electrical and Systems Engineering
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Raisler Lounge (Room 225), Towne Building
220 South 33rd Street
Philadelphia, PA 19104 United States
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