A Short Course in Quantum Information Theory (2^nd Ed., 2nd ed. 2011) An Approach From Theoretical Physics Lecture Notes in Physics Series, Vol. 827

This short and concise primer takes the vantage point of theoretical physics and the unity of physics. It sets out to strip the burgeoning field of quantum information science to its basics by linking it to universal concepts in physics. An extensive lecture rather than a comprehensive textbook, this volume is based on courses delivered over several years to advanced undergraduate and beginning graduate students, but essentially it addresses anyone with a working knowledge of basic quantum physics. Readers will find these lectures a most adequate entry point for theoretical studies in this field. For the second edition, the authors has succeeded in adding many new topics while sticking to the conciseness of the overall approach. A new chapter on qubit thermodynamics has been added, while new sections and subsections have been incorporated in various chapter to deal with weak and time-continuous measurements, period-finding quantum algorithms and quantum error corrections. From the reviews of the first edition: "The best things about this book are its brevity and clarity. In around 100 pages it provides a tutorial introduction to quantum information theory, including problems and solutions. ? it?s worth a look if you want to quickly get up to speed with the language and central concepts of quantum information theory, including the background classical information theory." (Craig Savage, Australian Physics, Vol. 44 (2), 2007)

Introduction.- Foundations of Classical Physics.- Semiclassical -Semi-q-physics.- Foundations of q-physics.- Two-state q-system: Qubit Representations.- One-qubit Manipulaitons.- Composite q-system, Pure State.- All q-operations.- Classical Information Theory.- Q-Information Theory.- Q-computation.- Qubit Thermodyanmics.- Appendix.- Solutions.- References.- Index.

Concise but self-contained primer suitable for self-guided studies. Contains problems and solutions. Efficiently compares the classical and the quantum approaches to information theory and processing.