Papers by Pavlo Zahorodko
Journal of physics, Mar 1, 2021
Machine learning is now widely used almost everywhere, primarily for forecasting. In the broadest... more Machine learning is now widely used almost everywhere, primarily for forecasting. In the broadest sense, the machine learning objective may be summarized as an approximation problem, and the issues solved by various training methods can be reduced to finding the optimal value of an unknown function or restoring a function. At the moment, we have only experimental samples of quantum computers based on classical-quantum logic, when quantum gates are used instead of ordinary logic gates, and probabilistic quantum bits are used instead of deterministic bits. Namely, the probabilistic nature problems that provide for the determination of a certain optimal state from a large set of possible ones on which quantum computers can achieve “quantum supremacy” – an extraordinary (by many orders of magnitude) reduction in the time required to solve the task. The main idea of the work is to identify the possibility of achieving, if not quantum supremacy, then at least a quantum advantage when solving machine learning problems on a quantum computer.
Machine learning is now widely used almost everywhere, primarily for forecasting. The main idea o... more Machine learning is now widely used almost everywhere, primarily for forecasting. The main idea of the work is to identify the possibility of achieving a quantum advantage when solving machine learning problems on a quantum computer.
The rapid growth of modern information technologies influences all aspects of human life. Compani... more The rapid growth of modern information technologies influences all aspects of human life. Companies all over the world are adopting new approaches to solve business problems, such as diverse automation, by using information technologies. Automation substitutes routine human work and noticeably increases efficiency. This research examines different approaches to document automation. Basic concepts of document processing using XML and existing solutions have been reviewed and a library based on LibreOffice UNO API has been designed and implemented. The library contains different helpers, wrappers, and processing tools to create an additional layer of abstraction. Moreover, the library is aimed at simplifying processing, working, and converting documents, which might considerably optimize a process of creating document reports generators.
Machine learning is now widely used almost everywhere, primarily for forecasting. The main idea o... more Machine learning is now widely used almost everywhere, primarily for forecasting. The main idea of the work is to identify the possibility of achieving a quantum advantage when solving machine learning problems on a quantum computer.
Journal of Physics: Conference Series, 2021
Machine learning is now widely used almost everywhere, primarily for forecasting. In the broadest... more Machine learning is now widely used almost everywhere, primarily for forecasting. In the broadest sense, the machine learning objective may be summarized as an approximation problem, and the issues solved by various training methods can be reduced to finding the optimal value of an unknown function or restoring a function. At the moment, we have only experimental samples of quantum computers based on classical-quantum logic, when quantum gates are used instead of ordinary logic gates, and probabilistic quantum bits are used instead of deterministic bits. Namely, the probabilistic nature problems that provide for the determination of a certain optimal state from a large set of possible ones on which quantum computers can achieve “quantum supremacy” – an extraordinary (by many orders of magnitude) reduction in the time required to solve the task. The main idea of the work is to identify the possibility of achieving, if not quantum supremacy, then at least a quantum advantage when solv...
Educational Dimension
This paper explores the application of Agile frameworks in education to enhance the learning proc... more This paper explores the application of Agile frameworks in education to enhance the learning process. The lack of a generalized approach to Agile in education prompted an analysis and comparison of various frameworks, including Scrum, eduScrum, Agile Learning Loops (ALL), and other Scrum-based approaches. The Agile Manifesto was also reinterpreted for educational settings. The review highlights the differences and similarities among these frameworks in terms of their suitability for education, support for classic increments, project-based approach, documentation, technological stack, and role distribution. The analysis concludes that while Agile is increasingly used in education, there is no standardized methodology. The reviewed frameworks offer valuable insights, but their implementation requires experimentation and adaptation to individual educational contexts.
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Papers by Pavlo Zahorodko