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 John Watrous - University of Calgary
The focus is on the mathematical theory of quantum information. We will begin with basic principles and methods for reasoning about quantum information, and then move on to a discussion of various results concerning quantum information.
by John Preskill - California Institute of Technology
We will study the properties that distinguish quantum information from classical information. And we will see how these properties can be exploited in the design of quantum algorithms that solve certain problems faster than classical algorithms can.
by Man-Hong Yung, et al. - arXiv
The text focuses on applications of quantum computation to problems of interest in physics and chemistry. The authors describe quantum simulation algorithms that have been developed for electronic-structure problems, thermal-state preparation, 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.