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on1277313999 |
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OCoLC |
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20240623213015.0 |
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m o d |
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211020s2021 sz a ob 001 0 eng d |
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|a 1277274866
|a 1287770676
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|a 9783030830984
|q (electronic bk.)
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| 020 |
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|a 3030830985
|q (electronic bk.)
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|z 9783030830977
|q (print)
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|z 3030830977
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7 |
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|a 10.1007/978-3-030-83098-4
|2 doi
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|a (OCoLC)1277313999
|z (OCoLC)1277274866
|z (OCoLC)1287770676
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|b Springer
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| 049 |
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|a HCDD
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| 100 |
1 |
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|a Schuld, Maria,
|e author.
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| 245 |
1 |
0 |
|a Machine learning with quantum computers /
|c Maria Schuld, Francesco Petruccione.
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| 250 |
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|a Second edition.
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| 264 |
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1 |
|a Cham, Switzerland :
|b Springer,
|c 2021.
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| 300 |
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|a 1 online resource (xiv, 312 pages) :
|b illustrations (some color)
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
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| 347 |
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|b PDF
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| 490 |
1 |
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|a Quantum science and technology,
|x 2364-9062
|
| 505 |
0 |
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|a Introduction -- Machine learning -- Quantum computing -- Representing data on a quantum computer -- Variational circuits as machine learning models -- Quantum models as Kernel methods -- Fault-tolerant quantum machine learning -- Approaches based on the Ising model -- Potential quantum advantages.
|
| 520 |
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|a This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks. The book aims at an audience of computer scientists and physicists at the graduate level onwards. The second edition extends the material beyond supervised learning and puts a special focus on the developments in near-term quantum machine learning seen over the past few years
|
| 504 |
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|a Includes bibliographical references and index.
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| 588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed October 20, 2021).
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| 650 |
|
0 |
|a Machine learning.
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| 650 |
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0 |
|a Quantum computing.
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| 650 |
|
7 |
|a Machine learning
|2 fast
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| 650 |
|
7 |
|a Quantum computing
|2 fast
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| 700 |
1 |
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|a Petruccione, F.
|q (Francesco),
|e author.
|1 https://id.oclc.org/worldcat/entity/E39PBJtRJ3qDJ3gq89jfQ6mrv3
|
| 758 |
|
|
|i has work:
|a Machine learning with quantum computers (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFF8JFXgWJxQVCJtdqrVkC
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|z 3030830977
|z 9783030830977
|w (OCoLC)1258779850
|
| 830 |
|
0 |
|a Quantum science and technology,
|x 2364-9062
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-83098-4
|y Click for online access
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| 903 |
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|a SPRING-PHYSICS2021
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| 994 |
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|a 92
|b HCD
|