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Springer eBooks

Quantum Computer Programming

Published Dec 10, 2006• 1 citation
Publisher
DOI
10.1007/978-0-387-36791-0_3

Related papers

Modeling Quantum programs: challenges, initial results, and research directions

Shaukat Ali, Tao Yue

Quantum programming languages provide necessary constructs to program quantum computers. To write such programs, one needs to understand the characteristics of quantum computers such as superposition and entanglement, which are novel as compared to programming with classical computers. Understanding these characteristics requires an understanding of quantum physics. Thus, there is a need to build high-level modeling abstractions of quantum programs for software engineers who are used to program on classical computers to understand and model quantum programs at a high-level of abstraction and independent of quantum platforms. To this end, we present some ideas for developing such quantum software modeling languages, by presenting a conceptual model of quantum programs and an example of modeling the state-based behavior of quantum entanglement program. Moreover, we present some open issues in the area of modeling quantum programs.

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Basic principles of quantum computer ensure more computing power than the principles of classical computers. Quantum computers use quantum mechanical effects such as entanglement and superposition to speed up computing processes compared to classical computers. If the quantum computers one day becomes a commercially available product, then it is very important to have a converter that will convert the source code of programming languages for classical computers into source code of programming languages for quantum computers because it will speed up the translation process and ensure that developers of classical computers can develop programs for quantum computer using programming languages for classical computers. In this paper, the basic approach to automatic conversion of the source code for classical computer into a source code of quantum computer is introduced.

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•Nov 2, 2020•0 citations
Quantum programming languages provide necessary constructs to program quantum computers. To write such programs, one needs to understand the characteristics of quantum computers such as superposition and entanglement, which are novel as compared to programming with classical computers. Understanding these characteristics requires an understanding of quantum physics. Thus, there is a need to build high-level modeling abstractions of quantum programs for software engineers who are used to program on classical computers to understand and model quantum programs at a high-level of abstraction and independent of quantum platforms. To this end, we present some ideas for developing such quantum software modeling languages, by presenting a conceptual model of quantum programs and an example of modeling the state-based behavior of quantum entanglement program. Moreover, we present some open issues in the area of modeling quantum programs.
Basic principles of quantum computer ensure more computing power than the principles of classical computers. Quantum computers use quantum mechanical effects such as entanglement and superposition to speed up computing processes compared to classical computers. If the quantum computers one day becomes a commercially available product, then it is very important to have a converter that will convert the source code of programming languages for classical computers into source code of programming languages for quantum computers because it will speed up the translation process and ensure that developers of classical computers can develop programs for quantum computer using programming languages for classical computers. In this paper, the basic approach to automatic conversion of the source code for classical computer into a source code of quantum computer is introduced.
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