Talk by Prof. Aram Harrow from MIT on Quantum Algorithms for Machine Learning
Event details
| Date | 24.10.2019 |
| Hour | 13:15 › 14:30 |
| Speaker | Prof. Aram Harrow (MIT) |
| Location | |
| Category | Conferences - Seminars |
The EPFL Quantum Computing Association is excited to invite you to the talk of Prof. Aram Harrow from MIT!
Title: Hybrid Classical-Quantum Algorithms for Optimization and Inference
Quantum Computers are known to have strengths in cryptography and quantum simulations, but what about Machine Learning? This would be a valuable application, but there are difficulties: small Quantum Computers must handle large data sets and the existing classical algorithms are already quite sophisticated. To address these challenges, Prof. Harrow will describe how hybrid classical-quantum algorithms can best exploit the strengths of both types of computers.
About the speaker: Aram Harrow is an Associate Professor of Physics in the Massachusetts Institute of Technology's Center for Theoretical Physics. Harrow works in quantum information science and quantum computing. Together with Avinatan Hassidim and Seth Lloyd, he designed a quantum algorithm for linear systems of equations (the HHL algorithm), which in some cases exhibits an exponential advantage over the best classical algorithms. The algorithm has wide application in quantum machine learning. He is a steering committee member of Quantum Information Processing (QIP), the largest annual conference in the field of quantum computing. Harrow is a co-administrator of SciRate, a free and open access scientific collaboration network. He also co-runs a blog, The Quantum Pontiff. His collaborators include Peter Shor and Charles H. Bennett.
Title: Hybrid Classical-Quantum Algorithms for Optimization and Inference
Quantum Computers are known to have strengths in cryptography and quantum simulations, but what about Machine Learning? This would be a valuable application, but there are difficulties: small Quantum Computers must handle large data sets and the existing classical algorithms are already quite sophisticated. To address these challenges, Prof. Harrow will describe how hybrid classical-quantum algorithms can best exploit the strengths of both types of computers.
About the speaker: Aram Harrow is an Associate Professor of Physics in the Massachusetts Institute of Technology's Center for Theoretical Physics. Harrow works in quantum information science and quantum computing. Together with Avinatan Hassidim and Seth Lloyd, he designed a quantum algorithm for linear systems of equations (the HHL algorithm), which in some cases exhibits an exponential advantage over the best classical algorithms. The algorithm has wide application in quantum machine learning. He is a steering committee member of Quantum Information Processing (QIP), the largest annual conference in the field of quantum computing. Harrow is a co-administrator of SciRate, a free and open access scientific collaboration network. He also co-runs a blog, The Quantum Pontiff. His collaborators include Peter Shor and Charles H. Bennett.
Practical information
- General public
- Free
Organizer
- Hosts: - Quantum Computing Association (Samuel Bosch) - IC (Prof. James Larus) - IPHYS
Contact
- Samuel Bosch, Alexander Sanchez de la Cerda