Quantum computing for the brain:
"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...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New Jersey
World Scientific
[2022]
|
| Schriftenreihe: | Between science and economics
3 |
| Schlagworte: | |
| Online-Zugang: | DE-634 https://doi.org/10.1142/q0313 https://www.worldscientific.com/worldscibooks/10.1142/q0313#t=toc |
| Zusammenfassung: | "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"-- |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (xxiv, 526 Seiten) Illustrationen |
| ISBN: | 9781800610620 9781800610637 |
| DOI: | 10.1142/q0313 |
Internformat
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| 245 | 1 | 0 | |a Quantum computing for the brain |c Melanie Swan, University College London, UK, Renato P. dos Santos, Lutheran University of Brazil, Brazil, Mikhail Lebedev, National Research University Higher School of Economics, Russia, Frank Witte, University College London, UK |
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| 520 | 3 | |a "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"-- | |
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Datensatz im Suchindex
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| author | Swan, Melanie Santos, Renato P. dos Lebedev, Mikhail Witte, Frank |
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| ctrlnum | (OCoLC)1443590317 (DE-599)KXP1820824810 |
| doi_str_mv | 10.1142/q0313 |
| format | Electronic eBook |
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| id | DE-604.BV049739707 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-20T07:56:16Z |
| institution | BVB |
| isbn | 9781800610620 9781800610637 |
| language | English |
| oclc_num | 1443590317 |
| open_access_boolean | |
| owner | DE-634 |
| owner_facet | DE-634 |
| physical | 1 Online-Ressource (xxiv, 526 Seiten) Illustrationen |
| psigel | ZDB-124-WOP ZDB-124-WOP BTU_Kauf |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | World Scientific |
| record_format | marc |
| series | Between science and economics |
| series2 | Between science and economics |
| spelling | Swan, Melanie Verfasser (DE-588)1068481277 aut Quantum computing for the brain Melanie Swan, University College London, UK, Renato P. dos Santos, Lutheran University of Brazil, Brazil, Mikhail Lebedev, National Research University Higher School of Economics, Russia, Frank Witte, University College London, UK New Jersey World Scientific [2022] 1 Online-Ressource (xxiv, 526 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Between science and economics 3 Includes bibliographical references and index "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"-- Quantum computing Neurosciences Santos, Renato P. dos Verfasser (DE-588)1183112351 aut Lebedev, Mikhail Verfasser aut Witte, Frank Verfasser (DE-588)1179489144 aut Erscheint auch als Druck-Ausgabe, Hardcover 9781800610613 Between science and economics 3 (DE-604)BV047116422 3 https://doi.org/10.1142/q0313 Verlag X:WSP https://www.worldscientific.com/worldscibooks/10.1142/q0313#t=toc Verlag |
| spellingShingle | Swan, Melanie Santos, Renato P. dos Lebedev, Mikhail Witte, Frank Quantum computing for the brain Between science and economics |
| title | Quantum computing for the brain |
| title_auth | Quantum computing for the brain |
| title_exact_search | Quantum computing for the brain |
| title_full | Quantum computing for the brain Melanie Swan, University College London, UK, Renato P. dos Santos, Lutheran University of Brazil, Brazil, Mikhail Lebedev, National Research University Higher School of Economics, Russia, Frank Witte, University College London, UK |
| title_fullStr | Quantum computing for the brain Melanie Swan, University College London, UK, Renato P. dos Santos, Lutheran University of Brazil, Brazil, Mikhail Lebedev, National Research University Higher School of Economics, Russia, Frank Witte, University College London, UK |
| title_full_unstemmed | Quantum computing for the brain Melanie Swan, University College London, UK, Renato P. dos Santos, Lutheran University of Brazil, Brazil, Mikhail Lebedev, National Research University Higher School of Economics, Russia, Frank Witte, University College London, UK |
| title_short | Quantum computing for the brain |
| title_sort | quantum computing for the brain |
| url | https://doi.org/10.1142/q0313 https://www.worldscientific.com/worldscibooks/10.1142/q0313#t=toc |
| volume_link | (DE-604)BV047116422 |
| work_keys_str_mv | AT swanmelanie quantumcomputingforthebrain AT santosrenatopdos quantumcomputingforthebrain AT lebedevmikhail quantumcomputingforthebrain AT wittefrank quantumcomputingforthebrain |