| Description |
x, 153 pages : illustrations ; 25 cm |
| Series |
Genetic programming series ; 7 |
|
Genetic programming series ; 7
|
| Contents |
Machine derived contents note: Preface. -- 1: The Power of Quantum Computing. 1. What is Quantum Computing? 2. Possibilities Count. 3. The Role of Automatic Programming. -- 2: Quantum Computer Simulation. 1. Bits, Qubits and Gates. 2. Gate-Level Simulation. -- 3: Quantum Computer Programming. 1. QGAME: Quantum Gate and Measurement Emulator. 2. Visualization. 3. Example: Grover's Database Search Algorithm. -- 4: Genetic and Evolutionary Computation. 1. What Is Genetic and Evolutionary Computation? 2. Genetic Algorithms. 3. Scalability via Parallelism. 4. Applicability of Genetic and Evolutionary Computation. -- 5: Genetic Programming. 1. Programming by Genetic Algorithm. 2. Traditional Program Representations. 3. Traditional Genetic Operators. 4. Example: Symbolic Regression. 5. Obtaining Genetic Programming Results. -- 6: Evolution of Complex Programs. 1. Types, Modules and Development. 2. The Push Programming Language. 3. Push Examples. 4. PshGP: Genetic Programming with Push. 5. Autoconstructive Evolution. -- 7: Evolution of Quantum Programs. 1. Program Representations. 2. Fitness. 3. Operators and Refinements. -- 8: Evolved Quantum Programs. 1. The 1-Bit Deutsch-Jozsa Problem. 2. Grover's Database Search Problem. 3. Scaling Majority-ON. 4. The OR and AND/OR Problems. 5. Gate Communication Problems. 6. Significance of These Results. -- 9: Conclusions and Prospects. -- Appendices: QGAME Source Code. Index |
| Notes |
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Automatic programming (Computer science)
|
|
Genetic programming (Computer science)
|
|
Quantum computers.
|
| LC no. |
2004301736 |
| ISBN |
1402078951 e-book |
|
1402078943 cased |
|
