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EN
In this paper, a dynamic model of computation based on the Universal Turing Machine is proposed. This model is capable of applying runtime code modifications for 3-symbol deterministic Turing Machines at runtime and requires a decomposition of the simulated machine into parts called subtasks. The algorithm for performing runtime changes is considered, and the ability to apply runtime changes is studied through computer simulations. Theoretical properties of the proposed model, including computational power as well as time and space complexity, are studied and proven. Connections between the proposed model and Oracle Machines are discussed. Moreover, a possible method of implementation in real-life systems is proposed.
EN
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.
EN
A minimization of finite automata is important for designing of computer's hardware and software. A finite automata can be a model of any system with finite number of states. A limitation of number of states will save resources and time. In this article 1-way quantum finite automata is presented. We describe its characteristics, behaviour and languages accepted by it. This type of automata can be in future exploited to design and checking the behaviour of quantum systems, in lexical anaiyzer of a compiler, that will be used on quantum computers, or in verification systems. Also in this case Iimitation of states will save resources. The article holds formulated definition of indistinguishableness relation for 1-way quantum finite automata, on base of which minimization algorithm was created. Additionally, the algorithm 's complexity analysis and example of behaviour is holded.
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