| 000 -LEADER |
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| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240320b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783030830977 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.3 |
| Item number |
SCH |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Schuld, Maria |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Machine learning with quantum computers |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
2021 |
| Place of publication, distribution, etc |
Cham : |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 312 p. ; |
| Other physical details |
ill., |
| Dimensions |
25 cm. |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
119.99 |
| Price type code |
€ |
| Unit of pricing |
93.50 |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Quantum science and technology |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Machine Learning |
|
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| Topical term or geographic name as entry element |
Quantum Computing |
|
|---|
| Topical term or geographic name as entry element |
Hidden Markov Models; |
|
|---|
| Topical term or geographic name as entry element |
Deep Belief Network |
|
|---|
| Topical term or geographic name as entry element |
Grover Search |
|
|---|
| Topical term or geographic name as entry element |
Hopfield Model |
|
|---|
| Topical term or geographic name as entry element |
Artificial Neural Network |
|
|---|
| Topical term or geographic name as entry element |
Qsample Encoding |
|
|---|
| Topical term or geographic name as entry element |
Deutsch-Josza Algorithm |
|
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| Topical term or geographic name as entry element |
Kernel Methods |
|
|---|
| Topical term or geographic name as entry element |
Quantum BLAS |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Petruccione, F. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |