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OverviewFull Product DetailsAuthor: Stefanie CzischekPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2020 Weight: 0.349kg ISBN: 9783030527174ISBN 10: 3030527174 Pages: 205 Publication Date: 28 August 2021 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- Quantum Mechanics and Spin Systems.- Artificial Neural Networks.- Discrete Truncated Wigner Approximation.- BM-Based Wave Function Parametrization.- Deep Neural Networks and Phase Reweighting.- Towards Neuromorphic Sampling of Quantum States.- Conclusion.ReviewsAuthor InformationStefanie Czischek graduated from Heidelberg University, Germany, with a B.Sc. in Physics in 2013. In her research project, she used classical spin-glass models for simulating starling flocks. At the Kirchhoff-Institute for Physics, she studied the dynamics of quantum many-body systems far from equilibrium. She graduated with a M.Sc. in Physics in 2016. Stefanie received her Doctor of Natural Sciences at Heidelberg University in 2019. She worked with Professor Thomas Gasenzer on investigating artificial neural networks for simulating spin systems and realizing the emulation of quantum states on neuromorphic hardware. Stefanie is currently a postdoctoral researcher in the group of Professor Roger Melko at the University of Waterloo, Canada, where she continues working on simulating quantum many-body systems with the help of neural networks and an accelerating hardware. Tab Content 6Author Website:Countries AvailableAll regions |
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