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IEEE East-West Design & Test Symposium (EWDTS)

Quantum technology for analysis and testing computing systems

Wajeb Gharibi, Vladimir I. Hahanov, Anders Carlsson, Irina Hahanova, Инна Викторовна Филиппенко

Published Sep 1, 2013• 1 citation
Publisher

Abstract

A theory of quantum models, methods and algorithms for improving the performance of existing software and hardware tools for analysis and synthesis of digital computing devices by increasing the dimension of the data structures and memory are proposed. The basic concepts, terminology and definitions are introduced, which are necessary for the understanding the theory and practice of quantum computation.

DOI
10.1109/ewdts.2013.6673085

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A theory of quantum models, methods and algorithms for improving the performance of existing software and hardware tools for analysis and synthesis of digital computing devices by increasing the dimension of the data structures and memory are proposed. The basic concepts, terminology and definitions are introduced, which are necessary for the understanding the theory and practice of quantum computation.
Qubit models and methods for improving the performance of software and hardware for analyzing digital devices through increasing the dimension of the data structures and memory are proposed.The basic concepts, terminology and definitions necessary for the implementation of quantum computing when analyzing virtual computers are introduced.The investigation results concerning design and modeling computer systems in a cyberspace based on the use of two-component structure <memory -transactions> are presented.
In the contemporary era of scientific and technical innovations, we are witnessing remarkable progress in the realm of quantum computing. Today’s phase is referred to as the second quantum revolution, characterized by ongoing research and progress in the hardware, software, and applications of quantum computers. While the theoretical foundations of quantum computing have been in place for decades, the practical tools and technologies that have emerged in recent years have catapulted this field from theory into reality. This paper provides a brief overview of the fundamental principles of quantum computing and explores the various technologies that support them. From quantum programming languages and simulators to quantum hardware platforms and software development kits, these tools have paved the way for groundbreaking research, experimentation, and the exploration of quantum’s boundless potential. Furthermore, it addresses the current developments, existing challenges, ongoing improvements, and future prospects in this dynamic field.
Quantum computing represents a transformative approach to computation leveraging fundamental principles of quantum mechanics such as superposition, entanglement and interference to store and process information in ways that classical computers cannot achieve.This paper attempts to provide a bona fide bibliographic overview of the principles, computational models, hardware technologies, and potential applications of quantum computing.It analyses how quantum algorithms could outperform classical algorithms in cryptographic analysis, optimization, and big data analysis.The survey integrates viewpoints from recent works; it presents system architectures, software development challenges, and quantum-assisted applications in healthcare, artificial intelligence, cybersecurity, and industrial optimization.Meanwhile, it examines hybrid quantum-classical systems that would allow quantum technologies to be deployed in the near term skirted by the limitations currently posed by quantum hardware.Moreover, the paper discusses foremost hurdles in scaling, error-correction, and maintaining coherence.From reviewing the recent developments and whether possible, this present review work informs researchers, engineers, and practitioners alike on the current state, as well as on the long-run viability, of quantum computing.