Speaker: Dr Roger Melko, Department of Physics and astronomy, University Of Waterloo.
Abstract: Condensed matter physics is the study of the collective behaviour of infinitely complex assemblies of interacting electrons, magnetic moments, atoms or qubits. This complexity is reminiscent of the "curse of dimensionality" commonly encountered in machine learning. Despite this curse, the machine learning community has developed techniques with remarkable abilities to classify, characterize and interpret complex sets of real-world data, such as images or natural languages. Here, we show that modern neural network architectures for supervised learning can be used to identify phases and phase transitions in a variety of condensed matter Hamiltonians. These neural networks can be trained to detect ordered states, as well as topological states with no conventional order, directly from raw state configurations sampled theoretically or experimentally. Further, such configurations can be used to train a stochastic variant of a neural network, called a Restricted Boltzmann Machine (RBM), for use in unsupervised learning applications. We show how RBMs can be sampled much like a physical Hamiltonian to produce configurations useful for estimating physical observables. Finally, we examine the power of RBMs for the efficient representation of classical and quantum Hamiltonians, and explore applications in quantum state tomography useful for near-term multi-quoit devices.
The Vancouver Section of the IEEE promotes the exchange of technical information and awareness of the local engineering community by:
Hosting evening, half-day, or full-day technical presentations and seminars on topics of current interest
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Other important activities include:
Recognizing local members by nominating them for advancement in IEEE membership grade and/or IEEE technical and service awards,
Arranging for industry support of projects organized by IEEE student branches and chapters, and,
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The Vancouver Section was established on August 22, 1911. The Section encompasses the geographical area of the province of BC, except for Vancouver Island (which is part of the Victoria Section). The Section currently has about 2200 active members, including 325 students at BCIT, SFU, and UBC. It is the fourth largest Section in Canada.
The Section operates on a fiscal year that runs from May - April of each year. The Annual General Meeting and election of new officers are held on the second Monday of each May. Meetings and social events are generally held from September - April.
The Section's nine active technical chapters represent 15 of the 37 technical societies and councils of IEEE and are listed on the menu bar to the left. Each chapter holds 5-6 technical meetings or tours each year. Some chapters organize a few half or full day seminars, and a distinguished lecture or two.
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GOLD (Graduates of the Last Decade)
IEEE Continuing education courses are offered online at http://www.ieee.org/web/education/home/index.html
Local courses are also offered at the Department of Electrical and Computer Engineering at UBC, the School of Engineering Science at SFU, and at the British Columbia Institute of Technology.
The Section publishes a newsletter, "IEEE CONTACT", 9 times each year (from September - May) that is emailed to members.
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