"The book provides an extensive bibliography and index. ... this volume is well suited for a advanced graduate or first-year PhD course in quantum mechanics, with ample time available for self-study." (L.-F. Pau, Computing Reviews, January 30, 2023)
1 The Postulates of Quantum Mechanics.- 2 Virtual Realization of Quantum Computers.- 3 Quantum Computation: Overview.- 4 Quantum Algorithms: Introduction.- 5 Quantum Information: Introduction.- 6 Quantum Error Correction Codes: Introduction.- Appendix A Linear Algebra.- Appendix B Mathematica Application Q3.- References.
Mahn-Soo Choi is a Professor of Physics at Korea University in South Korea. He studied at POSTECH and acquired his PhD in physics in 1998. After a postdoctoral fellowship at the University of Basel in Switzerland and a research fellowship at the Korea Institute for Advanced Study, he joined the Faculty of Physics at Korea University in 2002. He started his research career in condensed matter theory, subsequently expanding his interest to quantum computation and quantum information theory. He has been working on mesoscopic transport, spin qubits in quantum dots, superconducting qubits, the superconducting circuit QED, and related quantum hybrid systems.
Teaching quantum computation and information is notoriously difficult, because it requires covering subjects from various fields of science, organizing these subjects consistently in a unified way despite their tendency to favor their specific languages, and overcoming the subjects’ abstract and theoretical natures, which offer few examples of actual realizations. In this book, we have organized all the subjects required to understand the principles of quantum computation and information processing in a manner suited to physics, mathematics, and engineering courses as early as undergraduate studies.In addition, we provide a supporting package of quantum simulation software from Wolfram Mathematica, specialists in symbolic calculation software. Throughout the book’s main text, demonstrations are provided that use the software package, allowing the students to deepen their understanding of each subject through self-practice. Readers can change the code so as to experiment with their own ideas and contemplate possible applications. The information in this book reflects many years of experience teaching quantum computation and information. The quantum simulation-based demonstrations and the unified organization of the subjects are both time-tested and have received very positive responses from the students who have experienced them.