Quantum computing in the age of ChatGPT
IEEE Computer Society - San Diego Chapter
2023 Invited Seminar Series: Lecture 9
In this colloquium talk, I briefly introduce the basics of quantum computing and the state-of-the-art of the technology. I then define the notion of quantum advantage and use a canonical problem to elaborate how quantum speedup shows up in algorithms. Finally, I propose a thought process for finding high value use-cases for quantum computers given the recent advancement in classical machine learning with a few specific examples.
Date and Time
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- Date: 08 Nov 2023
- Time: 01:30 AM UTC to 02:30 AM UTC
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- Starts 24 October 2023 04:45 PM UTC
- Ends 08 November 2023 02:30 AM UTC
- No Admission Charge
Speakers
Omar Shehab of IBM
Quantum computing in the age of ChatGPT
Biography:
Dr. Omar Shehab is a Staff Research Scientist at the Theory, Algorithm, and Applications team of IBM Quantum based in IBM Thomas J Watson Research Center, NY. He obtained his PhD on quantum complexity theory from UMBC in 2016. He focuses on quantum algorithms for natural science simulation, quantum optimization and machine learning. He is also PIs in the DARPA Quantum Benchmarking program and Wellcome Leap Q4Bio program.
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Address:United States