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This book presents the mathematics of quantum computation. The purpose is to introduce the topic of quantum computing to students in computer science, physics and mathematics who have no prior knowledge of this field.
The book is written in two parts. The primary mathematical topics required for an initial understanding of quantum computation are dealt with in Part I: sets, functions, complex numbers and other relevant mathematical structures from linear and abstract algebra. Topics are illustrated with examples focussing on the quantum computational aspects which will follow in more detail in Part II.
Part II discusses quantum information, quantum measurement, and quantum algorithms. These topics provide foundations upon which more advanced topics may be approached with confidence.
Features:
A more accessible approach than most competitor texts, which move into advanced, research-level topics too quickly for today’s students.
Part I is comprehensive in providing all necessary mathematical underpinning, particularly for those who need more opportunity to develop their mathematical competence.
More confident students may move directly to Part II and dip back into Part I as a reference.
Ideal for use as an introductory text for courses in quantum computing.
Fully worked examples illustrate the application of mathematical techniques.
Exercises throughout develop concepts and enhance understanding.
End-of-chapter exercises offer more practice in developing a secure foundation.
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This book presents the mathematics of quantum computation. The purpose is to introduce the topic of quantum computing to students in computer science, physics and mathematics who have no prior knowledge of this field.
The book is written in two parts. The primary mathematical topics required for an initial understanding of quantum computation are dealt with in Part I: sets, functions, complex numbers and other relevant mathematical structures from linear and abstract algebra. Topics are illustrated with examples focussing on the quantum computational aspects which will follow in more detail in Part II.
Part II discusses quantum information, quantum measurement, and quantum algorithms. These topics provide foundations upon which more advanced topics may be approached with confidence.
Features:
A more accessible approach than most competitor texts, which move into advanced, research-level topics too quickly for today’s students.
Part I is comprehensive in providing all necessary mathematical underpinning, particularly for those who need more opportunity to develop their mathematical competence.
More confident students may move directly to Part II and dip back into Part I as a reference.
Ideal for use as an introductory text for courses in quantum computing.
Fully worked examples illustrate the application of mathematical techniques.
Exercises throughout develop concepts and enhance understanding.
End-of-chapter exercises offer more practice in developing a secure foundation.