2011
DOI: 10.2478/v10175-011-0039-5
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Models of quantum computation and quantum programming languages

Abstract: Abstract. The goal of the presented paper is to provide an introduction to the basic computational models used in quantum information theory. We review various models of quantum Turing machine, quantum circuits and quantum random access machine (QRAM) along with their classical counterparts. We also provide an introduction to quantum programming languages, which are developed using the QRAM model. We review the syntax of several existing quantum programming languages and discuss their features and limitations.

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Cited by 33 publications
(25 citation statements)
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“…We hold innovation and entrepreneurship reports and lectures, build innovative entrepreneurship classes, encourage students to carry out diversified innovation and entrepreneurship practice, and create a strong atmosphere of innovation and entrepreneurship education [4].…”
Section: Innovation and Entrepreneurship Educationmentioning
confidence: 99%
“…We hold innovation and entrepreneurship reports and lectures, build innovative entrepreneurship classes, encourage students to carry out diversified innovation and entrepreneurship practice, and create a strong atmosphere of innovation and entrepreneurship education [4].…”
Section: Innovation and Entrepreneurship Educationmentioning
confidence: 99%
“…There are likely other advantages of using a universal quantum computer, e.g., efficient simulation of physical systems. For instance, the quantum circuit model may be used, which seems to be closer to actual quantum physical systems than Quantum Turing Machine model [9]. A universal quantum computer model will also extend the definition of message to any quantum measurement.…”
Section: Quantum Algorithmic Probability and Physical Modelsmentioning
confidence: 99%
“…The possibility of using the parallel computation methods for simulation of a quantum computer was shown in [15]. An introduction to the basic computational models used in quantum information theory can be found in [16].…”
Section: Introductionmentioning
confidence: 99%