The goal of the Quantum Immersion Workshop — held on Monday, February 25, from 8 am to 5 pm in the Charles B. Wang Center — is to build a Quantum Information Science (QIS) community of researchers at Stony Brook University and Brookhaven National Laboratory. This workshop will showcase the latest research in QIS and provide a forum to discuss opportunities to engage in QIS research.
The workshop is geared for researchers in physics, computer science, engineering, materials science and related fields with an interest in QIS, but all are invited to attend the two Provost’s Lectures that are part of the day’s agenda:
Building A Quantum Computer with Barry C. Sanders
Monday, February 25, 11:30 am, Charles B. Wang Center Theater
Barry Sanders is Director of the Institute for Quantum Science and Technology at the University of Calgary and holds Visiting Chair positions at the University of Science and Technology of China and at the Raman Research Institute in India. He is well known for seminal contributions to quantum-limited measurement, highly nonclassical light, practical quantum cryptography and optical implementations of quantum information tasks. His current research interests include quantum resources and algorithms, implementations of quantum information tasks and protocols, and machine learning for quantum control. Dr. Sanders is a Fellow of the Institute of Physics (UK), the Optical Society of America, the Australian Institute of Physics, the American Physical Society and the Royal Society of Canada, and is a Senior Fellow of the Canadian Institute for Advanced Research. n 2016, Sanders was awarded the Imperial College London Doctor of Science (DSc) degree and he is Editor-in-Chief of New Journal of Physics.
Abstract: Quantum computing is moving from concept to experimental proofs-of-principle and even to commercial products. Various types are considered such as universal quantum computers, quantum simulators and quantum annealers. Promising media include atoms, photons and solid state. Dr. Sanders presents a high-level overview of the current state-of-the-art and aspirations for building quantum computers.
Quantum Machine Learning with Seth Lloyd
Monday, February 25, 1:30 pm, Charles B. Wang Center Theater
Seth Lloyd is Nam P. Suh Professor of Mechanical Engineering and Professor of Physics at MIT. His research focuses on problems of information and complexity in the universe. He was the first person to develop a realizable model for quantum computation and is working with a variety of groups to construct and operate quantum computers and quantum communication systems. Dr. Lloyd has worked to establish fundamental physical limits to precision measurement and to develop algorithms for quantum computers for pattern recognition and machine learning. His work on complex systems focuses on transitions between stability and instability in complex dynamical systems. He is author of more than 250 scientific papers and of Programming the Universe (Knopf, 2004).
Abstract: Quantum machine learning addresses the question of how quantum computers can supply significant advances over classical machine learning. This talk will review recent advances in quantum machine learning, including quantum data fitting, quantum support vector machines, and deep quantum learning. The talk will outline the technological steps that need to be taken to implement useful quantum machine learning devices.
Office of the Vice President for Research (SBU), SUNY Center for Quantum Information Science on Long Island (SBU/SUNY), Computational Science Initiative (BNL), Institute for Advanced Computational Sciences (SBU), College of Arts and Sciences (SBU), College of Engineering and Applied Sciences (SBU), and Department of Physics and Astronomy (SBU).