Quantum Research Institute | Introduction to Artificial neural networks and Machine Learning with a few applications to Quantum Physics
Franco Nori, RIKEN and University of Michigan.
Thursday, June 19, 2025
1:30-3:00 PM
Virtual
Physical Location: James and Ann Duderstadt Center 3336
Zoom: https://umich.zoom.us/j/96130497495?jst=2
Abstract: The first part of this talk will present some basic aspects of simple artificial neural networks and machine learning (ML). This part would be suitable for students not familiar with the subject. The second part of this talk will briefly summarize some of our results applying ML to the study of a few problems in quantum physics and quantum information. The relevant publications are listed below. Additional applications are described on our website: https://dml.riken.jp/pub/ai_meets_qp/
Bio.
The research group of Franco Nori (Riken and University of Michigan) has done pioneering interdisciplinary studies at the interface between quantum optics, quantum information processing, superconducting quantum circuitry for quantum computing, photonics, atomic physics, nano-mechanics, opto-mechanics, nanoscience, dissipative quantum open systems, computational physics, complex systems, and condensed matter physics.
His research group has produced numerous highly cited papers (i.e., top 1% most cited publications among all papers in all areas of Physics) according to the Web of Science. Also, about 150 publications in Physical Review Letters, > 80 in Science and Nature journals, as well as numerous ones in other top journals. According to the Web of Science: ~78K citations and h-index > 126 (Google Scholar: > 108,000 citations and h-index ~147).
He has been listed by the Web of Science as a "Highly Cited Researcher” in Physics (covering all areas of Physics) for the past eight consecutive years: from 2017 to 2024 (Less than 0.1% of physicists are selected).
He is an Elected Fellow of the: American Physics Society (APS), UK's Institute of Physics (IoP), American Association for the Advancement of Science (AAAS), and Optical Society of America (OSA) [this last one “for fundamental contributions to quantum information science and optics, including circuit quantum electrodynamics, and the interface between quantum optics and quantum circuits”]. He received the 2014 Prize for Research in Physics, from the Matsuo Foundation, Japan; and the 2013 Prize for Science, by the Minister of Education, Culture, Sports, Science and Technology, Japan. Also, an "Excellence in Research Award" and an "Excellence in Education Award" from the University of Michigan. He is an Elected Member of the Academia Europaea, the Latin American Academy of Sciences, and a Foreign Member of the Swedish Royal Society of Arts and Sciences, in Gothenburg, Sweden. He won the 2023 W.E. Lamb Medal, and the 2024 Charles H. Townes Medal (from the OSA, now Optica); both for fundamental contributions to research on Quantum Optics, Quantum Electronics, and Quantum Information. In June 2024, he received a Research Doctorate Honoris Causa (i.e., an Honorary Doctorate) in Physics, from the University of Messina, Italy, founded in 1548.
Zoom: https://umich.zoom.us/j/96130497495?jst=2
Abstract: The first part of this talk will present some basic aspects of simple artificial neural networks and machine learning (ML). This part would be suitable for students not familiar with the subject. The second part of this talk will briefly summarize some of our results applying ML to the study of a few problems in quantum physics and quantum information. The relevant publications are listed below. Additional applications are described on our website: https://dml.riken.jp/pub/ai_meets_qp/
Bio.
The research group of Franco Nori (Riken and University of Michigan) has done pioneering interdisciplinary studies at the interface between quantum optics, quantum information processing, superconducting quantum circuitry for quantum computing, photonics, atomic physics, nano-mechanics, opto-mechanics, nanoscience, dissipative quantum open systems, computational physics, complex systems, and condensed matter physics.
His research group has produced numerous highly cited papers (i.e., top 1% most cited publications among all papers in all areas of Physics) according to the Web of Science. Also, about 150 publications in Physical Review Letters, > 80 in Science and Nature journals, as well as numerous ones in other top journals. According to the Web of Science: ~78K citations and h-index > 126 (Google Scholar: > 108,000 citations and h-index ~147).
He has been listed by the Web of Science as a "Highly Cited Researcher” in Physics (covering all areas of Physics) for the past eight consecutive years: from 2017 to 2024 (Less than 0.1% of physicists are selected).
He is an Elected Fellow of the: American Physics Society (APS), UK's Institute of Physics (IoP), American Association for the Advancement of Science (AAAS), and Optical Society of America (OSA) [this last one “for fundamental contributions to quantum information science and optics, including circuit quantum electrodynamics, and the interface between quantum optics and quantum circuits”]. He received the 2014 Prize for Research in Physics, from the Matsuo Foundation, Japan; and the 2013 Prize for Science, by the Minister of Education, Culture, Sports, Science and Technology, Japan. Also, an "Excellence in Research Award" and an "Excellence in Education Award" from the University of Michigan. He is an Elected Member of the Academia Europaea, the Latin American Academy of Sciences, and a Foreign Member of the Swedish Royal Society of Arts and Sciences, in Gothenburg, Sweden. He won the 2023 W.E. Lamb Medal, and the 2024 Charles H. Townes Medal (from the OSA, now Optica); both for fundamental contributions to research on Quantum Optics, Quantum Electronics, and Quantum Information. In June 2024, he received a Research Doctorate Honoris Causa (i.e., an Honorary Doctorate) in Physics, from the University of Messina, Italy, founded in 1548.
| Building: | Duderstadt Center |
|---|---|
| Event Link: | |
| Event Type: | Workshop / Seminar |
| Tags: | Chemistry, Computer Science And Engineering, Electrical And Computer Engineering, Electrical Engineering And Computer Science, Physics, Quantum, Quantum Computing, Quantum Science |
| Source: | Happening @ Michigan from Michigan Quantum Research Institute Seminars, Department of Physics, Electrical and Computer Engineering, Computer Science and Engineering Division, Applied Physics, Department of Chemistry, Electrical Engineering and Computer Science, Quantum Research Institute |
