Lecture Notes in Physics A Student’s Guide to Quantum Computing

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Bol It introduces classical logic and quantum mechanics before presenting their integration in quantum computation. Key topics include quantum logic gates, foundational algorithms such as Deutsch-Jozsa and Bernstein-Vazirani, the quantum Fourier transform, and quantum search algorithms. This textbook provides a self-contained introduction to the principles and methods of quantum computation, designed for advanced undergraduate and graduate students. It introduces classical logic and quantum mechanics before presenting their integration in quantum computation. Key topics include quantum logic gates, foundational algorithms such as Deutsch-Jozsa and Bernstein-Vazirani, the quantum Fourier transform, and quantum search algorithms. Additional coverage includes quantum operations, error correction techniques, and physical implementations of quantum computation using technologies such as trapped ions and superconducting qubits. The book concludes with an examination of quantum computation through adiabatic evolution. The text is supplemented with exercises, solutions, and practical examples to support learning and application. It serves as a foundational resource for students and researchers pursuing studies in quantum computing and related fields.

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It introduces classical logic and quantum mechanics before presenting their integration in quantum computation. Key topics include quantum logic gates, foundational algorithms such as Deutsch-Jozsa and Bernstein-Vazirani, the quantum Fourier transform, and quantum search algorithms. This textbook provides a self-contained introduction to the principles and methods of quantum computation, designed for advanced undergraduate and graduate students. It introduces classical logic and quantum mechanics before presenting their integration in quantum computation. Key topics include quantum logic gates, foundational algorithms such as Deutsch-Jozsa and Bernstein-Vazirani, the quantum Fourier transform, and quantum search algorithms. Additional coverage includes quantum operations, error correction techniques, and physical implementations of quantum computation using technologies such as trapped ions and superconducting qubits. The book concludes with an examination of quantum computation through adiabatic evolution. The text is supplemented with exercises, solutions, and practical examples to support learning and application. It serves as a foundational resource for students and researchers pursuing studies in quantum computing and related fields.


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  • 9783031833601
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