Quantum calculations, based on the principles Kalmuratov Maksetbay Tajimuratovich

Аннотация

Quantum calculations, based on the principles Kalmuratov Maksetbay Tajimuratovich. (2025). Influence Of Quantum of quantum mechanics, can significantly change the Calculations On The Industry Of Information Technologies. The American information technology industry. Unlike classical Journal of Engineering and Technology, 7(06), 124–126. https://doi.org/10.37547/tajet/Volume07Issue06-13 computers, quantum computers use qubits that can be superposed, which allows them to significantly accelerate the solution of complex tasks such as COPYRIGHT optimization, big data processing, and cryptography. © 2025 Original content from this work may be used under the terms of the creative commons attributes 4.0 License. The article examines the impact of quantum computing on information processing, data security, and artificial intelligence, as well as the challenges facing the industry, including the problems of qubit stability and the need for retraining specialists. Quantum technologies have great potential, but for their mass application, it is necessary to overcome a number of technical and theoretical obstacles. Keywords: Quantum computing, data processing, quantum cryptography, artificial intelligence, IT industry. Introduction: Quantum computing is a new paradigm in the field of information processing that has the potential to radically change the existing principles of computational systems. Based on the principles of quantum mechanics, such as superposition and entanglement, quantum computers promise to bring breakthroughs in various areas of science and technology. While classical computers are limited in solving certain tasks, quantum devices can significantly accelerate computations, which may have a profound impact on the information technology (IT) industry. In this article, we will explore how quantum computing can transform the IT industry, including aspects of security, The American Journal of Engineering and Technology 11 https://www.theamericanjournals.com/index.php/tajet The American Journal of Engineering and Technology data processing, and the development of new such as the BB84 protocol, can provide a high level of technologies. security and ensure that no data is intercepted during transmission. Given the threat posed by quantum Quantum computing is based on the principles of computing, research in the field of post-quantum quantum mechanics, which differ significantly from cryptography is becoming increasingly important. These classical logic. Instead of conventional bits that can algorithms are being developed to be resistant to exist in one of two states (0 or 1), quantum computers quantum attacks and may form the foundation of future use qubits—quantum bits. A qubit can exist not only in information security systems. one of these states but also in a superposition of both, allowing it to represent multiple states simultaneously. Quantum computing could lead to significant This capability gives quantum computing a powerful advancements in the field of artificial intelligence and advantage in parallel information processing. Another machine learning. Quantum machine learning important aspect of quantum computing is the algorithms, such as Grover’s quantum algorithm for phenomenon of quantum entanglement, where the finding optimal solutions or quantum algorithms for state of one qubit depends on the state of another, data clustering, can accelerate the training of AI models even when they are separated by large distances. and make them more efficient. In addition, quantum Entanglement opens up new possibilities for data computing may enable the development of more transmission and security. complex and accurate models for data analysis and decision-making. This will result in improved prediction One of the most promising areas of application for accuracy and faster machine learning processes [1, 189- quantum computing in IT is the acceleration of solving 190]. complex problems. These may include tasks that require vast computational power, such as molecular Despite the tremendous potential of quantum simulations for the development of new materials and computing, there are numerous technical and drugs, weather prediction, or complex optimization theoretical challenges that must be overcome before it tasks [5, 167–169]. Quantum algorithms, such as Shor’s can be commercialized and widely adopted. Developing algorithm and Grover’s algorithm, can significantly stable and scalable quantum computers remains one of speed up the solution of specific problems. For the main obstacles. Quantum systems are extremely example, Shor’s algorithm can factor large numbers sensitive to external influences such as temperature and into primes in polynomial time, which is significantly electromagnetic fields. This sensitivity leads to qubit faster than classical algorithms. This has major decoherence, which makes it difficult to perform long- implications for cryptography and big data analysis. duration computations.