Название: A Student's Guide to Quantum Computing Автор: Stefano Olivares Издательство: Springer Год: 2025 Страниц: 227 Язык: английский Формат: pdf (true), epub Размер: 23.5 MB
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.
Reading this guide, the reader will find not only chapters dedicated to the basic theoretical aspects of quantum computation—such as quantum gates, quantum algorithms, and quantum error correction—but also chapters covering fundamental concepts of quantum optics and cavity quantum electrodynamics. These topics are essential for understanding the operating principles behind the most well-known experimental implementations of qubits and quantum computation itself.
Indeed, there are many books for beginners as for advanced readers on the subject of quantum information and, in particular, quantum computation. The student or the researcher can find the one he/she prefers according to his/her own interests, ranging from the quantum algorithms to the physical implementations of quantum information processing and computation. These pages are intended for undergraduate students with a basic understanding of quantum mechanics, as well as researchers interested in the fundamental aspects of quantum computation and the physical principles behind its primary implementations.
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.
Contents:
1. Basic Concepts of Classical Logic 2. Elements of Quantum Mechanics 3. Quantum Mechanics as Computation 4. Universal Computers and Computational Complexity 5. Quantum Fourier Transform and Shor’s Factoring Algorithm 6. Quantum Search Algorithm 7. Quantum Operations 8. Basics of Quantum Error Correction 9. Two-Level Systems and Photonic Qubits 10. Quantum Computation with Trapped Ions 11. Superconducting Qubits: Charge and Transmon Qubits 12. Quantum Computation and Adiabatic Evolution
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