Quantum machine learning : what quantum computing means to data mining / (Record no. 246957)
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| fixed length control field | 05414cam a2200589Ia 4500 |
| 001 - CONTROL NUMBER | |
| control field | ocn890854311 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20190328114808.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu---unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140303s2014 cau o 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IDEBK |
| Language of cataloging | eng |
| Description conventions | pn |
| Transcribing agency | IDEBK |
| Modifying agency | OCLCO |
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| -- | E7B |
| -- | UIU |
| -- | CHVBK |
| -- | OCLCF |
| -- | OCLCQ |
| -- | NRC |
| -- | OCLCQ |
| -- | UAB |
| -- | K6U |
| -- | COO |
| -- | LIV |
| -- | D6H |
| -- | VVB |
| -- | U3W |
| -- | WYU |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780128010990 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0128010991 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 132211434X |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781322114347 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780128009536 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)890854311 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QC174.12 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | SCI |
| Subject category code subdivision | 024000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | SCI |
| Subject category code subdivision | 041000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | SCI |
| Subject category code subdivision | 055000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 530.12 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Wittek, Peter, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Quantum machine learning : what quantum computing means to data mining / |
| Medium | [electronic resource] |
| Statement of responsibility, etc. | Peter Wittek. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | San Diego, CA : |
| Name of producer, publisher, distributor, manufacturer | Academic Press, an imprint of Elsevier, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2014. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (176 pages) |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 588 0# - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Print version record. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Front Cover; Quantum Machine Learning: What Quantum Computing Meansto Data Mining; Copyright; Contents; Preface; Notations; Part One Fundamental Concepts; Chapter 1: Introduction; 1.1Learning Theory and Data Mining; 1.2. Why Quantum Computers?; 1.3.A Heterogeneous Model; 1.4. An Overview of Quantum Machine Learning Algorithms; 1.5. Quantum-Like Learning on Classical Computers; Chapter 2: Machine Learning; 2.1. Data-Driven Models; 2.2. Feature Space; 2.3. Supervised and Unsupervised Learning; 2.4. Generalization Performance; 2.5. Model Complexity; 2.6. Ensembles. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 2.7. Data Dependencies and Computational ComplexityChapter 3: Quantum Mechanics; 3.1. States and Superposition; 3.2. Density Matrix Representation and Mixed States; 3.3.Composite Systems and Entanglement; 3.4. Evolution; 3.5. Measurement; 3.6. Uncertainty Relations; 3.7. Tunneling; 3.8. Adiabatic Theorem; 3.9. No-Cloning Theorem; Chapter 4:Quantum Computing; 4.1. Qubits and the Bloch Sphere; 4.2. Quantum Circuits; 4.3. Adiabatic Quantum Computing; 4.4. Quantum Parallelism; 4.5. Grover''s Algorithm; 4.6.Complexity Classes; 4.7. Quantum Information Theory; Part Two Classical Learning Algorithms. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Chapter 5:Unsupervised Learning5.1. Principal Component Analysis; 5.2. Manifold Embedding; 5.3.K-Means and K-Medians Clustering; 5.4. Hierarchical Clustering; 5.5. Density-Based Clustering; Chapter 6:Pattern Recognition and Neural Networks; 6.1. The Perceptron; 6.2. Hopfield Networks; 6.3. Feedforward Networks; 6.4. Deep Learning; 6.5.Computational Complexity; Chapter 7:Supervised Learning and Support Vector Machines; 7.1.K-Nearest Neighbors; 7.2. Optimal Margin Classifiers; 7.3. Soft Margins; 7.4. Nonlinearity and Kernel Functions; 7.5. Least-Squares Formulation; 7.6. Generalization Performance. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 7.7. Multiclass Problems7.8. Loss Functions; 7.9.Computational Complexity; Chapter 8:Regression Analysis; 8.1. Linear Least Squares; 8.2. Nonlinear Regression; 8.3. Nonparametric Regression; 8.4.Computational Complexity; Chapter 9:Boosting; 9.1. Weak Classifiers; 9.2. AdaBoost; 9.3.A Family of Convex Boosters; 9.4. Nonconvex Loss Functions; Part Three Quantum Computing and Machine Learning; Chapter 10:Clustering Structure and Quantum Computing; 10.1. Quantum Random Access Memory; 10.2. Calculating Dot Products; 10.3. Quantum Principal Component Analysis; 10.4. Toward Quantum Manifold Embedding. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 10.5. Quantum K-Means10.6. Quantum K-Medians; 10.7. Quantum Hierarchical Clustering; 10.8.Computational Complexity; Chapter 11:Quantum Pattern Recognition; 11.1. Quantum Associative Memory; 11.2. The Quantum Perceptron; 11.3. Quantum Neural Networks; 11.4. Physical Realizations; 11.4.Computational Complexity; Chapter 12:Quantum Classification; 12.1. Nearest Neighbors; 12.2. Support Vector Machines with Grover''s Search; 12.3. Support Vector Machines with Exponential Speedup; 12.4.Computational Complexity; Chapter 13:Quantum Process Tomography and Regression; 13.1. Channel-State Duality. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Bridging the gap between abstract developments in quantum computing and the applied research on machine learning, this book pares down the complexity of the disciplines involved, and focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum framework. -- |
| Assigning source | Edited summary from book. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Quantum theory. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | SCIENCE |
| General subdivision | Energy. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | SCIENCE |
| General subdivision | Mechanics |
| -- | General. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | SCIENCE |
| General subdivision | Physics |
| -- | General. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining. |
| Source of heading or term | fast |
| Authority record control number | (OCoLC)fst00887946 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Quantum theory. |
| Source of heading or term | fast |
| Authority record control number | (OCoLC)fst01085128 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Maschinelles Lernen. |
| Authority record control number | (DE-588)4193754-5 |
| Source of heading or term | gnd |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Quanteninformatik. |
| Authority record control number | (DE-588)4705961-8 |
| Source of heading or term | gnd |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data Mining. |
| Authority record control number | (DE-588)4428654-5 |
| Source of heading or term | gnd |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Wittek, Peter author. |
| Title | Quantum Machine Learning. |
| Place, publisher, and date of publication | [San Diego, CA] : Academic Press, 2014 |
| International Standard Book Number | 9780128009536 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | ScienceDirect |
| Uniform Resource Identifier | http://www.sciencedirect.com/science/book/9780128009536 |
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