Background. The relevance of the study is due to the fact that today one of the most serious fundamental challenges for technology companies is that the needs for computing power are constantly growing. The business environment is increasingly moving towards a new computing paradigm. Quantum technologies may be one of the answers to this challenge. The purpose of the study is to assess the current state of quantum computing and determine the direction of development of this area, as well as obstacles and limitations in the use of quantum technologies. Materials and methods. The empirical basis of the study was research from the AIRI Institute of Artificial Intelligence, as well as research from CaixaBank, TotalEnergies, Quantinuum, authors B.G. Ibrahimov, A.O. Orujov, A.H. Hasanov, K.M. Tahirova in the article "Research and analysis efficiency fiber optical communication lines using quantum technology". Results. The author of this study presents the main advantage of quantum computing, noting that they are based on completely different principles than traditional ones, and will use their own hardware and mathematical base. The study presents the results of research and experiments in the field of quantum computing achieved by oil companies. The work done and the experience gained made it possible to formulate the key challenges for the development of quantum computing in industrial companies. Conclusions. The practical significance of this research lies in the fact that it will allow the business community, as well as government authorities, to develop a development strategy in the new computing paradigm. Will allow companies to develop effective strategies when solving optimization problems and advanced computing architectures.
Background. The relevance of the study is due to the fact that today one of the most serious fundamental challenges for technology companies is that the needs for computing power are constantly growing. The business environment is increasingly moving towards a new computing paradigm. Quantum technologies may be one of the answers to this challenge. The purpose of the study is to assess the current state of quantum computing and determine the direction of development of this area, as well as obstacles and limitations in the use of quantum technologies. Materials and methods. The empirical basis of the study was research from the AIRI Institute of Artificial Intelligence, as well as research from CaixaBank, TotalEnergies, Quantinuum, authors B.G. Ibrahimov, A.O. Orujov, A.H. Hasanov, K.M. Tahirova in the article "Research and analysis efficiency fiber optical communication lines using quantum technology". Results. The author of this study presents the main advantage of quantum computing, noting that they are based on completely different principles than traditional ones, and will use their own hardware and mathematical base. The study presents the results of research and experiments in the field of quantum computing achieved by oil companies. The work done and the experience gained made it possible to formulate the key challenges for the development of quantum computing in industrial companies. Conclusions. The practical significance of this research lies in the fact that it will allow the business community, as well as government authorities, to develop a development strategy in the new computing paradigm. Will allow companies to develop effective strategies when solving optimization problems and advanced computing architectures.
A new paradigm of computation has appeared recently that is known as quantum computing and which is able to solve difficult problems that cannot be solved using classical computing.It provides a comprehensive overview of the basic concepts, computational models, architectures, tools, applications and implications of quantum computing.The paper is based on the latest research, and it's used to evaluate the state of quantum computing, from theory to practical, application-oriented implementations.Fundamental concepts such as qubits, superposition, entanglement and hybrid quantum-classical computation are explained, along with major models and frameworks of quantum computing, including Cirq, TensorFlow Quantum and ProjectQ.Furthermore, various significant application areas, such as cryptography, optimization, AI, drug discovery, and industrial computing, are explored, highlighting the applications' potential and their technological development.Although great strides have been made, scalability, noise, error correction, interoperability and hardware challenges are major problems in the NISQ era.It also examines new trends, future research directions and the societal, security and ethical considerations of the advancement of quantum technology.But the bigger picture indicates that quantum computing is progressing from theory to reality, and there are many technical and institutional challenges to be resolved along the way.Interdisciplinary studies and responsible innovation will be key to unlocking the potential of quantum computing as the next generation of computational technology.
The urgency of conducting research in the field of quantum informatics is grounded. Promising areas of research are highlighted. For foreign and Russian publications and materials, a review of the main scientific results that characterize the current state of research in quantum computer science is made. It is noted that knowledge and funds are invested most intensively in the development of the architecture of a quantum computer and its elements. Despite the fact that today there is no information on the creation of a physical implementation of a quantum computer comparable in functionality to a classical digital computer, the development of quantum algorithms is one of the popular areas of research. An advantage of quantum algorithms is the fact that they reduce the time required to solve the problem due to the parallelization of operations by generating entangled quantum states and their subsequent use. This advantage (quantum acceleration) is most important when solving the problem of modeling the dynamics of complex systems and enumerated mathematical problems. (The general case of enumeration is the Grover scheme and its variants; the tasks of searching for hidden periods: Shor's scheme of using the fast quantum Fourier transform and its analogues.) The demand for cybersecurity developments (search for vulnerabilities in smart spaces, secure storage and use of big data, quantum cryptography) is noted. More than a dozen articles are devoted to quantum algorithms of key search, key distribution on optical fibers of various lengths, and the analysis of quantum resources necessary for conducting a cyber attack. In the field of artificial quantum intelligence, attention is paid, first of all, to the “search” for a model of a quantum neural network that is optimal from the point of view of using all the advantages presented by quantum computing and neural networks, as well as machine learning algorithms. Examples of the use of quantum computing in cognitive and social sciences for studying the decision-making mechanism with incomplete data are given. It is concluded that quantum informatics is promising for the simulation of complex natural and artificial phenomena and processes.
Quantum computing represents a monumental leap in computational technology, leveraging the principles of quantum mechanics to solve complex problems at unprecedented speeds. Unlike classical computers, which rely on bits as the smallest unit of information, quantum computers utilize qubits that can exist in multiple states simultaneously, enabling them to perform many calculations at once. This paper delves into the foundational concepts of quantum computing, including superposition, entanglement, and quantum gates, and explores its potential applications across various domains, such as cryptography, drug discovery, optimization problems, and artificial intelligence. We will discuss current advancements in quantum technology, high-lighting key breakthroughs and the progress made by leading research institutions and companies. Furthermore, this paper addresses the significant challenges that quantum computing faces, including error rates, qubit coherence, and scalability, which hinder its widespread adoption. By examining these facets, we aim to provide a comprehensive overview of how quantum computing could transform various fields and the hurdles that must be overcome to realize its full potential, ultimately suggesting future directions for research and development in this revolutionary area of technology.
Quantum computing has evolved from a largely theoretical discipline into a field of growing interest for commercial and industrial applications. Recent advances in quantum hardware, algorithms, and cloud-based access have enabled early experimentation outside academic environments, raising questions about its potential impact on real-world decision-making and operational problems. This paper provides an overview of the current state of quantum computing with a focus on its emerging relevance in commercial contexts. It examines the categories of problems that have attracted attention from industry, particularly those involving high combinatorial complexity such as optimization, scheduling, logistics, and resource allocation. The analysis also reviews the global landscape of companies and initiatives engaged in quantum computing, highlighting different technological approaches, maturity levels, and regional characteristics. In parallel, the paper discusses the principal challenges and limitations that constrain widespread adoption, including hardware immaturity, algorithmic readiness, cost factors, and organizational requirements. By considering both opportunities and risks, this study aims to present a balanced and realistic perspective on the role quantum computing may play in business environments. The objective is to clarify the current position of quantum computing within the broader technological landscape and to support informed interpretation of its potential, limitations, and future trajectory in commercial applications.
Quantum computing represents a revolutionary leap in computational power, leveraging the principles of quantum mechanics to process information in fundamentally new ways. Unlike classical computers, which use bits to represent data as 0s or 1s, quantum computers use quantum bits or qubits, enabling the phenomena of superposition and entanglement to perform complex calculations more efficiently (Nielsen & Chuang, 2010). This article explores the basic principles of quantum computing, the different models and algorithms that have been developed, and the current state of quantum hardware. The power of quantum computing lies in its ability to solve certain types of problems exponentially faster than classical computers. For instance, Shor's algorithm can factorize large integers in polynomial time, posing a significant threat to classical encryption methods (Shor, 1997). Similarly, Grover's algorithm provides a quadratic speedup for unstructured search problems, showcasing the potential for dramatic improvements in database search capabilities (Grover, 1996). These algorithms exemplify how quantum computing can revolutionize fields that rely on complex computations. Quantum hardware, however, is still in its nascent stage, with significant challenges to be overcome. Current quantum computers, such as those developed by IBM and Google, have demonstrated quantum supremacy but are limited by issues of qubit coherence and error rates (Arute et al., 2019). Quantum error correction and the development of more stable qubit technologies are critical areas of ongoing research (Preskill, 2018). Despite these challenges, recent advancements in quantum hardware and algorithms continue to drive the field forward, promising transformative impacts on industries such as cryptography, drug discovery, and artificial intelligence. As quantum computing continues to advance, it holds the promise of solving problems that are currently intractable for classical computers, paving the way for unprecedented technological and scientific advancements (Shor, 1997; Grover, 1996). This article provides a comprehensive overview of the current landscape of quantum computing, discussing its foundational principles, key algorithms, hardware challenges, and potential applications. By understanding these aspects, we can better appreciate the profound implications of quantum computing for the future of technology and science.
In the 21st century, the world is full of rapid changes and constant development of technology. The modern rhythm of life requires innovations and revolutionary solutions that would ensure efficiency, safety, and stability in various spheres of activity. In this context, quantum technologies come to the fore and provide unparalleled opportunities to transform our world. The relevance of research and study of quantum technologies is growing every day. They already today have the potential to change our understanding of cleaning processes, cryptography, telecommunications, medicine, and other industries. Understanding the principles of quantum physics and the possibilities of their implementation in practical application becomes necessary due to the rapid progress of scientific research in this area. This research paper aims to review the literature and analyze the prospects and applications of quantum technologies. It will be a valuable source of information for researchers, scientists, engineers, and all those interested in the future development of these advanced technologies. In this framework, the main principles of quantum physics will be developed; its advantages differ from classical technologies and demonstrative application in various fields. Current challenges and obstacles to the introduction of quantum technologies, as well as ways to overcome them, will also be highlighted. It is expected that this work will help readers gain a deeper understanding of the essence of quantum technologies and their impact on the modern world. It will encourage further research, contributing to the development and improvement of these powerful tools.