Covering both theory and progressive experiments, Quantum Computing: From Linear Algebra to Physical Realizations explains how and why superposition and entanglement provide the enormous computational power in quantum computing. This self-contained, classroom-tested book is divided into two sections, with the first devoted to the theoretical aspect

FROM LINEAR ALGEBRA TO QUANTUM COMPUTING: Basics of Vectors and Matrices. Framework of Quantum Mechanics. Qubits and Quantum Key Distribution. Quantum Gates, Quantum Circuit, and Quantum Computer. Simple Quantum Algorithms. Quantum Integral Transforms. Grover's Search Algorithm. Shor's Factorization Algorithm. Decoherence. Quantum Error-Correcting Codes. Physical Realizations of Quantum Computing: DiVincenzo Criteria. NMR Quantum Computer. Trapped Ions. Quantum Computing with Neutral Atoms. Josephson Junction Qubits. Quantum Computing with Quantum Dots. Appendix. Index.