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A quantum software engineering platform includes quantum computing methods, a quantum algorithm theory and quantum programming.These areas develop according to a technological structure of nanotechnology development for hardware design of various configurations.In about 10 to 30 years we expect the appearing of an industrial quantum computer for real software engineering; this fact is due to overcoming a number of technological difficulties in implementing hardware, as well as the fundamental difficulty of eliminating decoherence physical phenomenon and correcting errors in quantum computers in near future.A key question in quantum computing is searching for quantum algorithms that potentially have a significant advantage and supremacy over classical algorithms for problems of practical interest.Therefore, currently, an approach is being developed to create quantum algorithm structures for quantum simulators with the possibility of effective implementation on classical architecture computers.This paper proposes an effective modelling method with information analysis of quantum search and decision-making algorithm structures in order to eliminate redundancy in practical implementation of a simulator on a classical structure computer.As an example, we demonstrate the method of modeling Grover's quantum search algorithm with stopping the search for a good solution based on the Shannon information entropy minimum principle.There are modeling examples to demonstrate the effectiveness of the developed approach in quantum software engineering and intelligent control robotics.
Ulyanov et al. (Sat,) studied this question.