Quantum Computing and Quantum Physics: A Linear Algebra Approach provides a distinctive and accessible introduction to the rapidly growing fields of quantum information science and quantum computing. While broadly accessible, the textbook does not dodge providing a solid conceptual and formal understanding of quantum states, superposition, and entanglement-the key ingredients in quantum computing. The authors dish up a hearty meal for the readers, disentangling many of the classic quantum algorithms that demonstrate how and when Quantum Computing has an advantage over classical computers. The book includes pedagogical features such as 'Try It' boxes, brief exercises that engage the readers and help them digest the many counter-intuitive quantum information science and quantum computing concepts. Self-contained chapters on time dependence in quantum mechanics, magnetic resonance, density matrices, the simple harmonic oscillator, quantum perturbation theory, and number operators provide a basis for further reading and work in quantum information science and quantum computing. Aimed at undergraduate students with little or no background in physics, but with some familiarity with linear algebra, the book will also appeal to higher education faculty members and secondary school mathematics, physics, and computer science educators who want to learn about quantum computing and perhaps teach a course accessible to students with wide ranging backgrounds.
