Farid
9781040669884 Pallavi Sapkale;Shilpa Mehta;S. Balamurugan; CRC Press 2025
Catergory: Nonfiction, Computers, Advanced Computing, Computer Science, General Computing, Science & Nature, Technology
The aim of this book is to provide a comprehensive exploration of the recent developments in the field of quantum computing. The book introduces readers to the history, current state, and future prospects of quantum computing. It will provide a clear understanding of the challenges it faces in becoming a practical and transformative technology.
Quantum Computing: The Past, the Present, and the Future provides coverage of key areas such as introduction to quantum computers, quantum bits (Qubits), quantum information theory, quantum algorithms and complexity, implementation methods of quantum computing, quantum resistant cryptographic algorithms, quantum machine learning and applications of quantum computing. The book begins by introducing the mathematical foundations and quantum information theory to the readers and includes various techniques such as error detection and error correction. Next, a detailed description of a secure quantum channel-based communication using photons is also presented. The authors also elaborate on various techniques being pursued in realizing qubits and quantum computers including quantum dots, superconducting circuits, electron spins, and quantum wires that enable the physical realization of quantum computers. The book covers how quantum research deals with developing quantum-resistant cryptographic algorithms to secure communication channels and important information. The book closes with the research, development and prospects of quantum computing including the growth of quantum solutions to computationally exponential business problems.
This book presents quantum computing to a broad audience including academics, students, computer scientists, engineers, and mathematicians. It will assist experts and aspiring quantum computing scholars to learn new quantum computing skills and to improve their expertise and applications of the technology.
Contents of Download:
📌 Sapkale P. Quantum Computing And Machine Learning For 6G 2026.pdf (Pallavi Sapkale;Shilpa Mehta;S. Balamurugan;) (2025) (57.38 MB)
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⭐️ Quantum Computing And Machine Learning For 6g (2026) ✅ (58.38 MB)
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