Semantic Techniques in Quantum Computation (Hardcover)

Simon Gay

ISBN 10: 052151374X / ISBN 13: 9780521513746

Editore: Cambridge University Press, Cambridge, 2009

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Hardcover. The study of computational processes based on the laws of quantum mechanics has led to the discovery of new algorithms, cryptographic techniques, and communication primitives. This book explores quantum computation from the perspective of the branch of theoretical computer science known as semantics, as an alternative to the more well-known studies of algorithmics, complexity theory, and information theory. It collects chapters from leading researchers in the field, discussing the theory of quantum programming languages, logics and tools for reasoning about quantum systems, and novel approaches to the foundations of quantum mechanics. This book is suitable for graduate students and researchers in quantum information and computation, as well as those in semantics, who want to learn about a new field arising from the application of semantic techniques to quantum information and computation. This book is a collection of work from leading researchers that explores quantum computation from the perspective of the branch of theoretical computer science known as semantics, as an alternative to the more well-known studies of algorithmics, complexity theory, and information theory. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Codice articolo 9780521513746

Dati bibliografici

• Titolo: Semantic Techniques in Quantum Computation (Hardcover)
• Editore: Cambridge University Press, Cambridge
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 052151374X
• ISBN 13: 9780521513746
• Rilegatura: Hardcover
• Condizione: new

Descrizione articolo

Riassunto

Explores quantum computation from the perspective of the branch of theoretical computer science known as semantics.

Informazioni sugli autori

Simon Gay is a Senior Lecturer in the Department of Computing Science at the University of Glasgow. Prior to taking his current position, he worked as a research associate at Imperial College London, where he also earned his PhD in computer science, and as a lecturer at Royal Holloway, University of London.

Ian Mackie earned his MSc and PhD degrees in computer science at Imperial College London. He is editor-in-chief of an undergraduate textbook series and co-author of an advanced textbook on proof theory and automated deduction.