Скачать или смотреть Advances in Quantum Machine Intelligence (Pooya Ronagh, PhD)

Synthetic Intelligence Forum is excited to convene a session about "Advances in Quantum Machine Intelligence" with Pooya Ronagh, PhD (Research Assistant Professor of Physics and Astronomy, University of Waterloo).

Topic: In this talk, Professor Ronagh shares his perspectives about progress in the field of quantum machine intelligence (QMI). He describes the field of QMI from a historical context, describes its fundamental concepts, and presents an overview of state-of-the-art techniques related to QMI. Professor Ronagh explains important frameworks and methodologies for designing and analyzing QMI systems as well as applications related to machine learning. He also discusses his research in this domain and outlines directions for future study.

Biography: Dr. Pooya Ronagh is Research Assistant Professor of Physics and Astronomy at the University of Waterloo. Dr. Ronagh’s research interests involve algorithmic aspects of quantum computation. He explores novel applications of quantum computation by designing and analysing quantum algorithms for solving computational challenges wherein the classical state of the art is costly machine learning and high-performance computing.
The symbiotic relationship between classical and quantum computing is not only important in unlocking applications of quantum computers but also crucial in building them. Dr. Ronagh is therefore also interested in using optimization and control theory to improve the hybrid quantum-classical schemes used for quantum control, quantum error correction, and fault-tolerant quantum computation.
Previously, Professor Ronagh was a Postdoctoral Fellow of the Institute for Quantum Computing and the Department of Physics and Astronomy at the University of Waterloo. He was also an Associate Researcher at the Perimeter Institute for Theoretical Physics.
Pooya is trained as an algebraic geometer and a theoretical computer scientist. His research focused on the synergy between mathematical programming, machine learning, and quantum computation. He holds Bachelor of Science degrees in Computer Science and Mathematics from Sharif University of Technology. He then received his Masters of Science and PhD in Mathematics after studying at the University of Pennsylvania and the University of British Columbia.
In his PhD thesis, under the supervision of K. Behrend, he developed a novel proposal for the theory of generalized Donaldson-Thomas invariants motivated by applications in string theory.

Profiles of the host and presenter:
• Vik Pant, PhD -   / vikpant  
• Pooya Ronagh, PhD -   / adrian-lupascu-0b470725  

Web profiles of Adrian Lupascu, PhD:
• Department of Physics & Astronomy - https://uwaterloo.ca/physics-astronom...
• 1QBit - https://1qbit.com/people/pooya/

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