This is a self-contained, systematic and comprehensive introduction to all the subjects and techniques important in scientific computing. The style and presentation are readily accessible to undergraduates and graduates. A large number of examples, accompanied by complete C++ and Java code wherever possible, cover every topic.
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"Classical and Quantum computing" provides a self-contained, systematic and comprehensive introduction to all the subjects and techniques important in scientific computing. The style and presentation are readily accessible to undergraduates and graduates. A large number of examples, accompanied by complete C++ and Java code wherever possible, cover every topic.
Features and benefits:
- Comprehensive coverage of the theory with many examples
- Topics in classical computing include boolean algebra, gates, circuits, latches, error detection and correction, neural networks, Turing machines, cryptography, genetic algorithms
- For the first time, genetic expression programming is presented in a textbook
- Topics in quantum computing include mathematical foundations, quantum algorithms, quantum information theory, hardware used in quantum computing
This book serves as a textbook for courses in scientific computing and is also very suitable for self-study. Students, professionals and practitioners in computer science, applied mathematics and physics will benefit from using the book and the included software simulations.
1 Algorithms.- 2 Boolean Algebra.- 3 Number Representation.- 4 Logic Gates.- 5 Combinational Circuits.- 6 Latches and Registers.- 7 Synchronous Circuits.- 8 Recursion.- 9 Abstract Data Types.- 10 Error Detection and Correction.- 11 Cryptography.- 12 Finite State Machines.- 13 Computability and Complexity.- 14 Neural Networks.- 15 Genetic Algorithms.- 16 Quantum Mechanics.- 17 Quantum Bits and Quantum Computation.- 18 Measurement and Quantum States.- 19 Quantum State Machines.- 20 Teleportation.- 21 Quantum Algorithms.- 22 Quantum Information Theory.- 23 Quantum Error Detection and Correction.- 24 Quantum Hardware.- 25 Internet Resources.
Classical and Quantum computing provides a self-contained, systematic and comprehensive introduction to all the subjects and techniques important in scientific computing. The style and presentation are readily accessible to undergraduates and graduates. A large number of examples, accompanied by complete C++ and Java code wherever possible, cover every topic.
Features and benefits:
- Comprehensive coverage of the theory with many examples
- Topics in classical computing include boolean algebra, gates, circuits, latches, error detection and correction, neural networks, Turing machines, cryptography, genetic algorithms
- For the first time, genetic expression programming is presented in a textbook
- Topics in quantum computing include mathematical foundations, quantum algorithms, quantum information theory, hardware used in quantum computing
This book serves as a textbook for courses in scientific computing and is also very suitable for self-study. Students, professionals and practitioners in computer science, applied mathematics and physics will benefit from using the book and the included software simulations.
"This textbook is an almost encyclopædic tome on a range of topics mainly within the undergraduate computer science curriculum. Its coverage is very broad, starting from Boolean algebra and proceeding all the way to implementations of quantum computers. The selection and ordering of topics is somewhat arbitrary, and a book could be written about the subject matter of nearly every chapter. The most distinctive feature of this text is its coverage of quantum computing....
This book is essentially a compendium of techniques and computer programs usually dealt with in undergraduate computing courses. It is handy as a reference, since it covers a wide range of topics concisely. Its coverage of genetic algorithms and gene expression programming in particular, is novel and useful for beginning researchers. The material on quantum computing has never appeared in a general computer science text before, and serves as a convenient summary of the basics; it is quite brief compared to other texts. The C++ and Java code provided is useful in practice, and helps to illustrate the techniques discussed." —SIGACT NEWS
"This textbook is an almost encyclopædic tome on a range of topics mainly within the undergraduate computer science curriculum. Its coverage is very broad, starting from Boolean algebra and proceeding all the way to implementations of quantum computers. The selection and ordering of topics is somewhat arbitrary, and a book could be written about the subject matter of nearly every chapter. The most distinctive feature of this text is its coverage of quantum computing....
This book is essentially a compendium of techniques and computer programs usually dealt with in undergraduate computing courses. It is handy as a reference, since it covers a wide range of topics concisely. Its coverage of genetic algorithms and gene expression programming in particular, is novel and useful for beginning researchers. The material on quantum computing has never appeared in a general computer science text before, and serves as a convenient summary of the basics; it is quite brief compared to other texts. The C++ and Java code provided is useful in practice, and helps to illustrate the techniques discussed." -SIGACT NEWS
Inhaltsverzeichnis
1 Algorithms.- 2 Boolean Algebra.- 3 Number Representation.- 4 Logic Gates.- 5 Combinational Circuits.- 6 Latches and Registers.- 7 Synchronous Circuits.- 8 Recursion.- 9 Abstract Data Types.- 10 Error Detection and Correction.- 11 Cryptography.- 12 Finite State Machines.- 13 Computability and Complexity.- 14 Neural Networks.- 15 Genetic Algorithms.- 16 Quantum Mechanics.- 17 Quantum Bits and Quantum Computation.- 18 Measurement and Quantum States.- 19 Quantum State Machines.- 20 Teleportation.- 21 Quantum Algorithms.- 22 Quantum Information Theory.- 23 Quantum Error Detection and Correction.- 24 Quantum Hardware.- 25 Internet Resources.
Klappentext
This is a self-contained, systematic and comprehensive introduction to all the subjects and techniques important in scientific computing. The style and presentation are readily accessible to undergraduates and graduates. A large number of examples, accompanied by complete C++ and Java code wherever possible, cover every topic.
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