AI Seminar: Feedback in Quantum Algorithms: Bridging Quantum Information and Machine Learning
Join us for a talk by Jacob Biamonte, Distinguished Faculty Scholar in Quantum Sciences at the NASA Ames Quantum Artificial Intelligence Laboratory. Everybody is welcome to attend.
Feedback in Quantum Algorithms: Bridging Quantum Information and Machine Learning
He earned a BSc from Portland State University and a PhD from the University of Oxford. Additionally, he holds a higher Doctorate from the Moscow Institute of Physics and Technology.
Dr. Biamonte's research focuses on a data-driven approach to understand emergent and collective behaviors in quantum optimization and machine learning. Over the years, he has made substantial contributions to the field. After his undergraduate work, he joined D-Wave Systems Inc. in Vancouver, Canada, as a Quantum Applications Scientist and later took on a fellowship with the Aspuru-Guzik Group at Harvard University. He was fortunate to be mentored by John Carlos Baez and supervised by Arthur Ekert during a joint Oxford/Singapore postdoctoral program. Dr. Biamonte also lectured at St Peter’s College, Oxford, and led the Quantum Science Research Group at the Institute for Scientific Interchange (ISI Foundation) in Torino, Italy, from 2012 to 2017. In 2017, he joined the MIT-affiliated Skolkovo Institute of Science and Technology as a Tenure Track Associate Professor, and subsequently, he was appointed as the Head of the Laboratory for Quantum Information Processing and later as a tenured Full Professor.
In 2018, Dr. Biamonte was awarded the USERN Medal in Formal Sciences. He has been recognized as an investigator for the Foundational Questions Institute, an elected Fellow of the Institute of Physics, and the Institute of Mathematics and its Applications. He also received a Fellowship from the Higher Education Academy. Dr. Biamonte provides consultation and serves as a scientific advisor to various institutions, including the Wellcome Trust.
A committed educator, Dr. Biamonte instructs courses on quantum information theory and quantum algorithms.
This seminar is a part of the AI Seminar Series organised by SCIENCE AI Centre. The series highlights advances and challenges in research within Machine Learning, Data Science, and AI. Like the AI Centre itself, the seminar series has a broad scope, covering both new methodological contributions, ground-breaking applications, and impacts on society.