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Quantum information : a first course / Asma Al-Qasimi and Daniel F. V. James.

By: Contributor(s): Material type: TextTextPublication details: Cambridge : Cambridge University Press, 2025.Edition: 2025 editionDescription: xx, 315 pages : illustrations ; 26 cmISBN:
  • 9781009514729
Subject(s): DDC classification:
  • 23 004.1 Al316
Summary: This book offers a foundational introduction to the rapidly developing field of quantum information science by integrating concepts from quantum mechanics, mathematics, computer science, and engineering. It explains the principles of qubits, quantum states, entanglement, quantum gates, quantum algorithms, and quantum communication while emphasizing their applications in quantum computing and emerging quantum technologies. Designed for undergraduate and graduate students from diverse STEM backgrounds, the text presents theoretical concepts alongside exercises, examples, and interdisciplinary discussions that support both conceptual understanding and practical problem-solving. The work serves as a comprehensive and accessible resource for students, researchers, and professionals interested in quantum computation and information processing.
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Includes bibliographical references and index.

This book offers a foundational introduction to the rapidly developing field of quantum information science by integrating concepts from quantum mechanics, mathematics, computer science, and engineering. It explains the principles of qubits, quantum states, entanglement, quantum gates, quantum algorithms, and quantum communication while emphasizing their applications in quantum computing and emerging quantum technologies. Designed for undergraduate and graduate students from diverse STEM backgrounds, the text presents theoretical concepts alongside exercises, examples, and interdisciplinary discussions that support both conceptual understanding and practical problem-solving. The work serves as a comprehensive and accessible resource for students, researchers, and professionals interested in quantum computation and information processing.

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