Quantum computing for the brain (Record no. 97732)

000 -LEADER
fixed length control field 03442cam a22004098a 4500
001 - CONTROL NUMBER
control field 000q0313
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240731095159.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210915s2022 si ob 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781800610620
-- (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1800610629
-- (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (hbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (hbk.)
082 00 - CLASSIFICATION NUMBER
Call Number 006.3/843
100 1# - AUTHOR NAME
Author Swan, Melanie
245 10 - TITLE STATEMENT
Title Quantum computing for the brain
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Singapore :
Publisher World Scientific,
Year of publication 2022.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (552 p.).
490 0# - SERIES STATEMENT
Series statement Between science and economics,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction to quantum neuroscience - Foundations. Neural signaling basics -- The ads/brain correspondence -- Tabletop experiments -- Neuronal gauge theory - Substrate. Quantum information theory -- Quantum computing 101 -- Glia neurotransmitter -- synaptome -- Black hole information theory - Connectivity. Quantum photonics and high-dimensional entanglement -- Optical machine learning and quantum networks -- Connectome and brain imaging -- Brain networks -- System evolution. Quantum dynamics -- Neural dynamics -- Modeling toolkit. Quantum machine learning -- Born machine and pixel = qubit -- Quantum kernel learning and entanglement design -- Brain modeling and machine learning -- Conclusion: ads/brain theory and quantum neuroscience.
520 ## - SUMMARY, ETC.
Summary, etc "Quantum Computing for the Brain argues that the brain is the killer application for quantum computing. No other system is as complex, as multidimensional in time and space, as dynamic, as less well-understood, as of peak interest, and as in need of three-dimensional modeling as it functions in real-life, as the brain. Quantum computing has emerged as a platform suited to contemporary data processing needs, surpassing classical computing and supercomputing. This book shows how quantum computing's increased capacity to model classical data with quantum states and the ability to run more complex permutations of problems can be employed in neuroscience applications such as neural signaling and synaptic integration. State-of-the-art methods are discussed such as quantum machine learning, tensor networks, Born machines, quantum kernel learning, wavelet transforms, Rydberg atom arrays, ion traps, boson sampling, graph-theoretic models, quantum optical machine learning, neuromorphic architectures, spiking neural networks, quantum teleportation, and quantum walks. Quantum Computing for the Brain is a comprehensive one-stop resource for an improved understanding of the converging research frontiers of foundational physics, information theory, and neuroscience in the context of quantum computing"--
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.worldscientific.com/worldscibooks/10.1142/q0313#t=toc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
520 ## - SUMMARY, ETC.
-- Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Quantum computing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neurosciences.

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