skip to content
Principles of quantum artificial intelligence Preview this item
ClosePreview this item
Checking...

Principles of quantum artificial intelligence

Author: Andrzej Wichert; World Scientific (Firm)
Publisher: Singapore ; Hackensack, N.J. : World Scientific Pub. Co., ©2014.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation - quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem solving and finally present a general model of a quantum computer that is based  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Andrzej Wichert; World Scientific (Firm)
ISBN: 9789814566759 9814566756
OCLC Number: 865014067
Description: 1 online resource (xiv, 262 pages) : illustrations
Contents: 1. Introduction. 1.1. Artificial intelligence. 1.2. Motivation and goals. 1.3. Guide to the reader. 1.4. Content --
2. Computation. 2.1. Entscheidungsproblem. 2.2. Complexity theory. 2.3. Church-Turing thesis. 2.4. Computers --
3. Problem solving. 3.1. Knowledge representation. 3.2. Production system. 3.3. Sub-symbolic models of problem-solving --
4. Information. 4.1. Information and thermodynamics. 4.2. Hierarchical structures. 4.3. Information and measurement. 4.4. Information and memory. 4.5. Sparse code for sub-symbols. 4.6. Deduction systems and associative memory --
5. Reversible algorithms. 5.1. Reversible computation. 5.2. Reversible circuits --
6. Probability. 6.1. Kolmogorovs probabilities. 6.2. Mixed distribution. 6.3. Markov chains --
7. Introduction to quantum physics. 7.1. Unitary evolution. 7.2. Quantum mechanics. 7.3. Hilbert space. 7.4. Quantum time evolution. 7.5. Compound systems. 7.6. Von Neumann entropy. 7.7. Measurement. 7.8. Randomness --
8. Computation with qubits. 8.1. Computation with one qubit. 8.2. Computation with m qubit. 8.3. Matrix representation of serial and parallel operations. 8.4. Entanglement. 8.5. Quantum Boolean circuits. 8.6. Deutsch algorithm. 8.7. Deutsch Jozsa algorithm. 8.8. Amplitude distribution. 8.9. Geometric operations --
9. Periodicity. 9.1. Fourier transform. 9.2. Discrete Fourier transform. 9.3. Quantum Fourier transform. 9.4. FFT. 9.5. QFT decomposition. 9.6. QFT properties. 9.7. The QFT period algorithm. 9.8. Factorization. 9.9. Kitaev's phase estimation algorithm. 9.10. Unitary transforms --
10. Search. 10.1. Search and quantum oracle. 10.2. Lower bound [symbol] for [symbol]-based search. 10.3. Grover's amplification. 10.4. Circuit representation. 10.5. Speeding up the traveling salesman problem. 10.6. The generate-and-test method --
11. Quantum problem-solving. 11.1. Symbols and quantum reality. 11.2. Uninformed tree search. 11.3. Heuristic search. 11.4. Quantum tree search. 11.5. Quantum production system. 11.6. Tarrataca's quantum production system. 11.7. A general model of a quantum computer --
12. Quantum cognition. 12.1. Quantum probability. 12.2. Decision making. 12.3. Unpacking effects. 12.4. Conclusion --
13. Related approaches. 13.1. Quantum walk. 13.2. Adiabatic computation. 13.3. Quantum neural computation. 13.4. Epilogue.
Responsibility: Andreas Wichert.

Abstract:

In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation - quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem solving and finally present a general model of a quantum computer that is based on production systems.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.

Similar Items

Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/865014067> # Principles of quantum artificial intelligence
    a schema:CreativeWork, schema:Book, schema:MediaObject ;
    library:oclcnum "865014067" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/si> ;
    library:placeOfPublication <http://experiment.worldcat.org/entity/work/data/1409650056#Place/singapore> ; # Singapore
    library:placeOfPublication <http://experiment.worldcat.org/entity/work/data/1409650056#Place/hackensack_n_j> ; # Hackensack, N.J.
    schema:about <http://id.worldcat.org/fast/817247> ; # Artificial intelligence
    schema:about <http://dewey.info/class/004.1/e22/> ;
    schema:about <http://id.worldcat.org/fast/1085095> ; # Quantum computers
    schema:bookFormat schema:EBook ;
    schema:contributor <http://viaf.org/viaf/126207106> ; # World Scientific (Firm)
    schema:copyrightYear "2014" ;
    schema:creator <http://experiment.worldcat.org/entity/work/data/1409650056#Person/wichert_andrzej> ; # Andrzej Wichert
    schema:datePublished "2014" ;
    schema:description "1. Introduction. 1.1. Artificial intelligence. 1.2. Motivation and goals. 1.3. Guide to the reader. 1.4. Content -- 2. Computation. 2.1. Entscheidungsproblem. 2.2. Complexity theory. 2.3. Church-Turing thesis. 2.4. Computers -- 3. Problem solving. 3.1. Knowledge representation. 3.2. Production system. 3.3. Sub-symbolic models of problem-solving -- 4. Information. 4.1. Information and thermodynamics. 4.2. Hierarchical structures. 4.3. Information and measurement. 4.4. Information and memory. 4.5. Sparse code for sub-symbols. 4.6. Deduction systems and associative memory -- 5. Reversible algorithms. 5.1. Reversible computation. 5.2. Reversible circuits -- 6. Probability. 6.1. Kolmogorovs probabilities. 6.2. Mixed distribution. 6.3. Markov chains -- 7. Introduction to quantum physics. 7.1. Unitary evolution. 7.2. Quantum mechanics. 7.3. Hilbert space. 7.4. Quantum time evolution. 7.5. Compound systems. 7.6. Von Neumann entropy. 7.7. Measurement. 7.8. Randomness -- 8. Computation with qubits. 8.1. Computation with one qubit. 8.2. Computation with m qubit. 8.3. Matrix representation of serial and parallel operations. 8.4. Entanglement. 8.5. Quantum Boolean circuits. 8.6. Deutsch algorithm. 8.7. Deutsch Jozsa algorithm. 8.8. Amplitude distribution. 8.9. Geometric operations -- 9. Periodicity. 9.1. Fourier transform. 9.2. Discrete Fourier transform. 9.3. Quantum Fourier transform. 9.4. FFT. 9.5. QFT decomposition. 9.6. QFT properties. 9.7. The QFT period algorithm. 9.8. Factorization. 9.9. Kitaev's phase estimation algorithm. 9.10. Unitary transforms -- 10. Search. 10.1. Search and quantum oracle. 10.2. Lower bound [symbol] for [symbol]-based search. 10.3. Grover's amplification. 10.4. Circuit representation. 10.5. Speeding up the traveling salesman problem. 10.6. The generate-and-test method -- 11. Quantum problem-solving. 11.1. Symbols and quantum reality. 11.2. Uninformed tree search. 11.3. Heuristic search. 11.4. Quantum tree search. 11.5. Quantum production system. 11.6. Tarrataca's quantum production system. 11.7. A general model of a quantum computer -- 12. Quantum cognition. 12.1. Quantum probability. 12.2. Decision making. 12.3. Unpacking effects. 12.4. Conclusion -- 13. Related approaches. 13.1. Quantum walk. 13.2. Adiabatic computation. 13.3. Quantum neural computation. 13.4. Epilogue."@en ;
    schema:description "In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation - quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem solving and finally present a general model of a quantum computer that is based on production systems."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/1409650056> ;
    schema:genre "Electronic books"@en ;
    schema:inLanguage "en" ;
    schema:isSimilarTo <http://worldcat.org/entity/work/data/1409650056#CreativeWork/> ;
    schema:name "Principles of quantum artificial intelligence"@en ;
    schema:productID "865014067" ;
    schema:publication <http://www.worldcat.org/title/-/oclc/865014067#PublicationEvent/singapore_hackensack_n_j_world_scientific_pub_co_2014> ;
    schema:publisher <http://experiment.worldcat.org/entity/work/data/1409650056#Agent/world_scientific_pub_co> ; # World Scientific Pub. Co.
    schema:url <http://www.books24x7.com/marc.asp?bookid=63243> ;
    schema:workExample <http://worldcat.org/isbn/9789814566759> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/865014067> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/1409650056#Agent/world_scientific_pub_co> # World Scientific Pub. Co.
    a bgn:Agent ;
    schema:name "World Scientific Pub. Co." ;
    .

<http://experiment.worldcat.org/entity/work/data/1409650056#Person/wichert_andrzej> # Andrzej Wichert
    a schema:Person ;
    schema:familyName "Wichert" ;
    schema:givenName "Andrzej" ;
    schema:name "Andrzej Wichert" ;
    .

<http://experiment.worldcat.org/entity/work/data/1409650056#Place/hackensack_n_j> # Hackensack, N.J.
    a schema:Place ;
    schema:name "Hackensack, N.J." ;
    .

<http://id.worldcat.org/fast/1085095> # Quantum computers
    a schema:Intangible ;
    schema:name "Quantum computers"@en ;
    .

<http://id.worldcat.org/fast/817247> # Artificial intelligence
    a schema:Intangible ;
    schema:name "Artificial intelligence"@en ;
    .

<http://viaf.org/viaf/126207106> # World Scientific (Firm)
    a schema:Organization ;
    schema:name "World Scientific (Firm)" ;
    .

<http://worldcat.org/isbn/9789814566759>
    a schema:ProductModel ;
    schema:isbn "9814566756" ;
    schema:isbn "9789814566759" ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.