Quantum Computer Science
by David Mermin
Publisher: Cambridge University Press 2007
Number of pages: 236
This book is a concise introduction to quantum computation, developing the basic elements of this new branch of computational theory without assuming any background in physics. It begins with an introduction to the quantum theory from a computer-science perspective. It illustrates the quantum-computational approach with several elementary examples of quantum speed-up, before moving to the major applications.
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by Artur Ekert, Patrick Hayden, Hitoshi Inamori - arXiv
Contents: Qubits, gates and networks; Quantum arithmetic and function evaluations; Algorithms and their complexity; From interferometers to computers; The first quantum algorithms; Quantum search; Optimal phase estimation; and more.
by Richard L Amoroso - viXra.org
From the table of contents: From Concept to Conundrum; Cornucopia of Quantum Logic Gates; Surmounting Uncertainty Supervening Decoherence; Measurement With Certainty; New Classes of Quantum Algorithms; References; and more ...
by John Watrous - University of Calgary
Topics: Quantum information; Superdense coding, quantum circuits, and partial measurements; Quantum Teleportation; Searching algorithms; Simon's algorithm; Phase estimation; Order finding; Grover's Algorithm; Quantum error correction; etc.
by Renato Renner - ETH Zurich
Processing of information is necessarily a physical process. It is not surprising that physics and the theory of information are inherently connected. Quantum information theory is a research area whose goal is to explore this connection.