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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/115278...
Part of book or chapter of book . 2005 . Peer-reviewed
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From Quantum Physics to Programming Languages: A Process Algebraic Approach

Authors: Philippe Jorrand; Marie Lalire;

From Quantum Physics to Programming Languages: A Process Algebraic Approach

Abstract

Research in quantum computation is looking for the consequences of having information encoding, processing and communication exploit the laws of quantum physics, i.e. the laws of the ultimate knowledge that we have, today, of the foreign world of elementary particles, as described by quantum mechanics. After an introduction to the principles of quantum information processing and a brief survey of the major breakthroughs brought by the first ten years of research in this domain, this paper concentrates on a typically “computer science” way to reach a deeper understanding of what it means to compute with quantum resources, namely on the design of programming languages for quantum algorithms and protocols, and on the questions raised by the semantics of such languages. Special attention is devoted to the process algebraic approach to such languages, through a presentation of QPAlg, the Quantum Process Algebra which is being designed by the authors.

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    influence
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Top 10%
Average
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