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to graduate students and researchers in physics, computer science and mathematics with an interest in quantum computing, and may be used;
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introduction to quantum computing that is as self-contained as possible*No knowledge of quantum mechanics is assumed *Written by an electrical;
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twentieth-century physics into an entirely new way of thinking about computation. In this book, Chris Bernhardt offers an introduction to quantum;
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Features * An introduction to the core concepts of quantum computing * Qubits and quantum gates * Superposition, entanglement;
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ONE-VOLUME INTRODUCTION TO QUANTUM COMPUTING Clearly explains core concepts, terminology, and techniques Covers the;
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in physics. This introduction to quantum algorithms is concise but comprehensive, covering many key algorithms. It is mathematically rigorous but;
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"Introduction to Quantum Computation" is an introduction to a new rapidly developing theory of quantum computing. The book is a;
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) fields with an interest in designing quantum algorithms. Readers are expected to have a firm grasp of linear algebra and some familiarity with;
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) fields with an interest in designing quantum algorithms. Readers are expected to have a firm grasp of linear algebra and some familiarity with;
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required before a large-scale, practical quantum computer can be achieved. Quantum Computing: Progress and Prospects provides an introduction;
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This book offers readers an easy introduction into quantum computing as well as into the design for corresponding devices. The authors;
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This book offers readers an easy introduction into quantum computing as well as into the design for corresponding devices. The authors;
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Featuring detailed explanations of the major algorithms used in quantum Monte Carlo simulations, this is the first textbook of its kind to;
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computing had arrived. The study of the role of quantum mechanics in the theory of computa tion seems to have begun in the early 1980s with the;
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This introductory book on quantum computing includes an emphasis on the development of algorithms. Appropriate for both university;
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This introductory book on quantum computing includes an emphasis on the development of algorithms. Appropriate for both university;
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An emerging interdisciplinary field of study in the realm of academia has been quantum computing and its various applications. The rapid;
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An emerging interdisciplinary field of study in the realm of academia has been quantum computing and its various applications. The rapid;
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Quantum Computation is an interdisciplinary field formed by the merge of quantum effect, information theory and algorithms. The future;
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Quantum computing promises to solve problems which are intractable on digital computers. Highly parallel quantum algorithms can decrease;
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Quantum computing promises to solve problems which are intractable on digital computers. Highly parallel quantum algorithms can decrease;
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This book provides a comprehensive introduction to advanced topics in the computational and algorithmic aspects of number theory, focusing;
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Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use;
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in physics. This introduction to quantum algorithms is concise but comprehensive, covering many key algorithms. It is mathematically rigorous but;
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Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine;
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mathematics required for quantum mechanics, and then goes on to present, in detail, the notions of quantum mechanics, entanglement, quantum gates, and;
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mathematics required for quantum mechanics, and then goes on to present, in detail, the notions of quantum mechanics, entanglement, quantum gates, and;
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