The Amazing World of Quantum Computing

This book discusses the application of quantum mechanics to computing. It explains the fundamental concepts of quantum mechanics and then goes on to discuss various elements of mathematics required for quantum computing. Quantum cryptography, waves and Fourier analysis, measuring quantum systems, co...

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Bibliographic Details
Main Author: Bera, Rajendra K. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Undergraduate lecture notes in physics.
Subjects:
Online Access:Full text (Wentworth users only)

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505 0 |a 1. Quantum Cryptography & Quantum Teleportation -- 2. A Quick Comparison of Quantum & Classical Mechanics -- 3. The Birth and Coming of Age of Quantum Mechanics -- 4. Laws of Quantum Mechanics -- 5. Weirdness of Quantum Mechanics -- 6. Mathematical Elements Needed to Compute -- 7. Some Mathematical Consequences of the Postulates -- 8. Waves and Fourier Analysis -- 9. Getting the Hang of Measurement -- 10. Quantum Gates -- 11. Unusual Solutions of Usual Problems -- 12. Fundamental Limits to Computing -- 13. The Crown Jewels among Quantum Algorithms -- 14. Quantum Error Corrections -- 15. Time-Multiplexed Interpretation of Measurement -- 16. Quantum Computing and Social Responsibility. 
520 |a This book discusses the application of quantum mechanics to computing. It explains the fundamental concepts of quantum mechanics and then goes on to discuss various elements of mathematics required for quantum computing. Quantum cryptography, waves and Fourier analysis, measuring quantum systems, comparison to classical mechanics, quantum gates, and important algorithms in quantum computing are among the topics covered. The book offers a valuable resource for graduate and senior undergraduate students in STEM (science, technology, engineering, and mathematics) fields with an interest in designing quantum algorithms. Readers are expected to have a firm grasp of linear algebra and some familiarity with Fourier analysis. . 
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