A Short Introduction To Quantum Information And Quantum Computation


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A Short Introduction to Quantum Information and Quantum Computation


A Short Introduction to Quantum Information and Quantum Computation

Author: Michel Le Bellac

language: en

Publisher: Cambridge University Press

Release Date: 2006-06-15


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This undergraduate book, first published in 2006, introduces quantum information and computation for physicists, mathematicians and computer scientists.

Quantum Information and Quantum Computing


Quantum Information and Quantum Computing

Author: Mikio Nakahara

language: en

Publisher: World Scientific

Release Date: 2013


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The open research center project "Interdisciplinary fundamental research toward realization of a quantum computer" has been supported by the Ministry of Education, Japan for five years. This is a collection of the research outcomes by the members engaged in the project. To make the presentation self-contained, it starts with an overview by Mikio Nakahara, which serves as a concise introduction to quantum information and quantum computing. Subsequent contributions include subjects from physics, chemistry, mathematics, and information science, reflecting upon the wide variety of scientists working under this project. These contributions introduce NMR quantum computing and related techniques, number theory and coding theory, quantum error correction, photosynthesis, non-classical correlations and entanglement, neutral atom quantum computer, among others. Each of the contributions will serve as a short introduction to these cutting edge research fields.

An Introduction to Quantum Computing


An Introduction to Quantum Computing

Author: Phillip Kaye

language: en

Publisher: OUP Oxford

Release Date: 2006-11-17


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This concise, accessible text provides a thorough introduction to quantum computing - an exciting emergent field at the interface of the computer, engineering, mathematical and physical sciences. Aimed at advanced undergraduate and beginning graduate students in these disciplines, the text is technically detailed and is clearly illustrated throughout with diagrams and exercises. Some prior knowledge of linear algebra is assumed, including vector spaces and inner products. However, prior familiarity with topics such as quantum mechanics and computational complexity is not required.