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Neural-Network Simulation of Strongly Correlated Quantum Systems (Hardcover, 1st ed. 2020) Loot Price: R2,884
Discovery Miles 28 840
Neural-Network Simulation of Strongly Correlated Quantum Systems (Hardcover, 1st ed. 2020): Stefanie Czischek

Neural-Network Simulation of Strongly Correlated Quantum Systems (Hardcover, 1st ed. 2020)

Stefanie Czischek

Series: Springer Theses

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Loot Price R2,884 Discovery Miles 28 840 | Repayment Terms: R270 pm x 12*

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Quantum systems with many degrees of freedom are inherently difficult to describe and simulate quantitatively. The space of possible states is, in general, exponentially large in the number of degrees of freedom such as the number of particles it contains. Standard digital high-performance computing is generally too weak to capture all the necessary details, such that alternative quantum simulation devices have been proposed as a solution. Artificial neural networks, with their high non-local connectivity between the neuron degrees of freedom, may soon gain importance in simulating static and dynamical behavior of quantum systems. Particularly promising candidates are neuromorphic realizations based on analog electronic circuits which are being developed to capture, e.g., the functioning of biologically relevant networks. In turn, such neuromorphic systems may be used to measure and control real quantum many-body systems online. This thesis lays an important foundation for the realization of quantum simulations by means of neuromorphic hardware, for using quantum physics as an input to classical neural nets and, in turn, for using network results to be fed back to quantum systems. The necessary foundations on both sides, quantum physics and artificial neural networks, are described, providing a valuable reference for researchers from these different communities who need to understand the foundations of both.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Theses
Release date: September 2020
First published: 2020
Authors: Stefanie Czischek
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 205
Edition: 1st ed. 2020
ISBN-13: 978-3-03-052714-3
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Science & Mathematics > Physics > States of matter > General
Books > Science & Mathematics > Physics > Quantum physics (quantum mechanics) > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-03-052714-X
Barcode: 9783030527143

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