Teaching GuideTerm Faculty of Science |
Grao en Nanociencia e Nanotecnoloxía |
Subjects |
Quantum Computing |
Sources of information |
Identifying Data | 2023/24 | |||||||||||||
Subject | Quantum Computing | Code | 610G04035 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
Fourth | Optional | 4.5 | ||||||||||
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Basic |
Noson S. Yanofsky, Mirco A. Mannucci (2009). Quantum Computing for Computer Scientists. Cambridge University Press Richard P. Feynman (2001). Feynman Lectures On Computation. CRC Press Vicente Moret Bonillo (2017). Adventures in Computer Science. Springer |
After presenting the necessary prerequisites, the material is organized to look at different aspects of quantum computing from the specific standpoint of computer science. There are chapters on computer architecture, algorithms, programming languages, theoretical computer science, cryptography, information theory, and hardware. The text has step-by-step examples, more than two hundred exercises with solutions, and programming drills that bring the ideas of quantum computing alive for today's computer science students and researchers. |
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Complementary | |
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