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Title: Machine-Learning for Many-Body Quantum Physics
Date/Time: 19-Nov, 04:30PM
Venue: Online Event
Machine-learning-based approaches, routinely adopted in cutting-edge industrial applications, are being increasingly embraced to study fundamental problems in science. Many-body physics is very much at the forefront of these exciting developments, given its intrinsic "big-data" nature. In this seminar I will present selected applications to the quantum realm. First, I will discuss how a systematic, and controlled machine learning of the many-body wave-function can be realized. This goal is achieved by a variational representation of quantum states based on artificial neural networks. I will then discuss applications in diverse domains, ranging from open problems in Condensed Matter physics to applications in Quantum Computing. Focusing on the latter case, I will show that there are relevant cases in which machine learning techniques can be already used to classically simulate useful quantum algorithms, using purely classical resources.
Please register to receive zoom details: http://bit.ly/cqtwebinar
Title: Theoretical Reflections on Quantum Supremacy
Date/Time: 28-Sep, 11:00AM
Venue: Online event
Abstract: The recent demonstration of quantum supremacy by Google is a first step towards the era of small to medium scale quantum computers. In this talk I will explain what the experiment accomplished and the theoretical work it is based on, as well as what it did not accomplish and the many theoretical and practical challenges that remain. I will also describe recent breakthroughs in the design of protocols for the testing and benchmarking of quantum computers, a task that has deep computational and philosophical implications. Specifically, this leads to protocols for scalable and verifiable quantum supremacy, certifiable quantum random generation and verification of quantum computation.
Chaired by: Rahul Jain, Professor, School of Computing
Participants will need to register in advance to get a zoom link:
Umesh Vazirani is the Roger A. Strauch Professor of Electrical Engineering and Computer Science (EECS) at the University of California, Berkeley, and the co-director of the Berkeley Quantum Computation Center (BQIC). He is a Fellow of the Association for Computing Machinery and a member of the National Academy of Sciences. He was awarded the Fulkerson Prize for 2012. His research interests lie primarily in quantum computing. He is also a co-author of a textbook on algorithms and, on computational machine learning.
Click on the link below to view the list of CS Seminars http://www.comp.nus.edu.sg/about/depts/cs/seminars/
Title: Quantum Sensing: Environment & Navigation
Date/Time: 30-Sep, 10:00AM
Venue: Online via Zoom
Abstract: The Quantum Engineering Programme (QEP) is starting a second phase of funding which will support the application of quantum technologies towards end-user defined challenges. The Quantum Sensing Pillar’s first thematic workshop will focus on Environment & Navigation challenge statements provided by MINDEF and the Earth Observatory of Singapore. Find preliminary details in this document. The end-user perspectives will be presented in the workshop, and an open discussion will be held with the audience. Steps towards a Call for Proposals will also be presented. Participation is invited from the research and industry communities.
Please register in advance: