Mucciolo E. Introduction to Quantum Information Processing 2026

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Mucciolo E. Introduction to Quantum Information Processing 2026

Textbook in PDF format This book introduces Quantum Computing and quantum communications at the undergraduate level for students in the physical sciences, engineering, and mathematics, assuming no prior knowledge of quantum mechanics. It is a self-contained guide assuming only that the reader is familiar with physics at the college level, calculus (up to and including ordinary differential equations), and some matrix algebra and complex numbers. The book brings the reader up to speed with fundamental concepts in quantum information processing and builds a working knowledge of basic quantum algorithms, quantum error correction, and quantum communication protocols. It covers various models of quantum computation and some of the most common physical realizations of qubits. There is a good number of practice problems and exercises that rely on computer programming with the Qiskit language. The book can be used to prepare students of physics, mathematics, electrical and computer engineering, Computer Science, optics and photonics, and mathematics for internships and research experiences in quantum information processing, both during and after their undergraduate studies. It also helps those who plan to apply to graduate school and do research in this area. At several points in the course, Qiskit, a Python library for simulating and programming quantum computers, is used for practicing with quantum gates, quantum circuits, and for the graphical representation of Bloch spheres, circuits, quantum states and measurement outcomes. The book describes these activities; template codes are also available upon request. Python is such an accessible language that even students with very little familiarity with coding have been able to use the templates and complete the activities. An appendix explaining how to install and use Qiskit is included for convenience, but the reader should be aware that this package is constantly being updated, so the official online documentation should be always checked first. Appendices are also included to help students with some linear algebra concepts and mathematical methods that are employed in the main text or are required for solving exercises. An appendix on the basics of computational complexity theory is also provided. Preface Introduction Basics of Quantum Phenomena The Language of Quantum Mechanics Quantum Mechanics Qubits, Gates,and Circuits Basic Quantum Algorithms Quantum Information:Limits and Possibilities Quantum Fourier Transform and Applications Quantum Search and Applications Density Matrices and Their Uses Quantum Error Correction Alternative Forms of Quantum Computing Quantum Communication Quantum Sensing Physical Realizations of Qubits Appendix A Practicalities Appendix B Qiskit Appendix C Complexity Classes