Quantum Computing in Cybersecurity: A Paradigm Shift in Data Protection
Abstract
The advent of quantum computing poses both opportunities and challenges for cybersecurity. This paper explores how quantum algorithms can enhance encryption methods while also presenting potential threats to classical cryptographic systems. A comparative study of Shor’s and Grover’s algorithms illustrates their impact on current encryption standards, including RSA and AES. The research also discusses the development of post-quantum cryptography and its role in securing sensitive data. Case studies from China’s quantum research initiatives, such as those at the University of Science and Technology of China, highlight the country’s advancements in this field. The paper concludes with recommendations for transitioning to quantum-resistant security frameworks.
References
Guttha, P. R. (2025). Enhancing Patient Support and Education Services with Salesforce Health Cloud: A Scalable and Data-Driven Approach. Australian Journal of Cross-Disciplinary Innovation, 7(7).
Guttha, P. R. (2025). Transforming Healthcare and Life Sciences: Applications of Large Language Models and Artificial Intelligence. Innovations, 7, 7.
Guttha, P. R., Whig, A., & Whig, P. (2025). Leveraging AI for Sustainable Drug Commercialization and Advanced Therapy Management in TVET Innovations in Cell and Gene Therapy and Patient Support. In Integrating AI and Sustainability in Technical and Vocational Education and Training (TVET) (pp. 225-244). IGI Global Scientific Publishing.
Guttha, P. R. (2024). Advancements in Commercial Technology: A Data Technology Engineering Perspective. Australian Journal of Cross-Disciplinary Innovation, 6(6).
Guttha, P. R. (2024). Optimizing Business Growth with Salesforce Sales Cloud: Architecture, Development, and Scalable Delivery. Australian Journal of Cross-Disciplinary Innovation, 6(6).
Guttha, P. R. (2023). Architecting Scalable Business Applications: Design, Development, and Delivery Strategies. Australian Journal of Cross-Disciplinary Innovation, 5(5).
Mahida, A. (2023). Enhancing Observability in Distributed Systems-A Comprehensive Review. Journal Of Mathematical & Computer Applications. Src/Jmca-166. Doi: Doi. Org/10.47363/Jmca/2023 (2), 135, 2-4.
Mahida, A. (2023). Explainable Generative Models in FinCrime. J Artif Intell Mach Learn & Data Sci, 1(2), 205-208.
Mahida, A. (2024). Integrating Observability with DevOps Practices in Financial Services Technologies: A Study on Enhancing Software Development and Operational Resilience. International Journal of Advanced Computer Science & Applications, 15(7).
Mahida, A. (2022). Comprehensive Review on Optimizing Resource Allocation in Cloud Computing for Cost Efficiency. Journal of Artificial Intelligence & Cloud Computing. SRC/JAICC-249. DOI: doi. org/10.47363/JAICC/2022 (1), 232, 2-4.
Mahida, A. (2023). Machine Learning for Predictive Observability-A Study Paper. Journal of Artificial Intelligence & Cloud Computing. SRC/JAICC-252. DOI: doi. org/10.47363/JAICC/2023 (2), 235, 2-3.
Mahida, A. (2021). A Review on Continuous Integration and Continuous Deployment (CI/CD) for Machine Learning. International journal of science and research, 10(3), 1967-1970.
Mahida, A. (2024). Secure Data Outsourcing Techniques for Cloud Storage. International Journal of Science and Research (IJSR), 13 (4), 181-184.
Mahida, A. (2024). A comprehensive review on generative models for anomaly detection in financial data. Journal of Anomaly Detection Research, 12(2), 45-59.
Mahida, A., Chintale, P., & Deshmukh, H. (2024). Enhancing Fraud Detection in Real Time using DataOps on Elastic Platforms.
Dutta, P. K., Bhardwaj, A. K., & Mahida, A. (2024). Navigating the Complexities of Agile Transformations in Large Organizations. In Quantum Computing and Supply Chain Management: A New Era of Optimization (pp. 315-330). IGI Global.
Mahida, A. (2023). An Automated Disaster Recovery Strategies for Fintech Infrastructure. Journal of Engineering and Applied Sciences Technology. SRC/JEAST-342. DOI: doi. org/10.47363/JEAST/2023 (5), 236, 2-4.
Mahida, A. (2024, December). Impact of Observability on Enhancing Customer Experience in Digital Payment Platforms. In 2024 Eighth International Conference on Parallel, Distributed and Grid Computing (PDGC) (pp. 121-125). IEEE.
Mahida, A., & Tyagi, A. (2025). CYBER THREAT INTELLIGENCE AND INFORMATION SHARING IN CLOUD ECOSYSTEMS. Proceedings on Engineering, 7(1), 43-48.
Mohammed, C. S. A. (2019). Exploring the Features and Scope of SAP S/4HANA for Financial Products Subledger Management. Australian Journal of Cross-Disciplinary Innovation, 1(1).
Mohammed, C. (2021). Revolutionizing Financial Operations: A Comprehensive Study on the Impact of SAP and Kyriba Integration. International Journal of Sustainable Development in Computing Science, 3(2), 1-19.
Mohammed, C. S. A. (2025). Integrated Financial Ecosystems: Leveraging FRDP to Bridge Risk, Compliance, and Product Innovation. Indonasian Journal of Advanced Research & Technology, 7(7).
Antiya, D. S. (2025). Harnessing AI for Data-Driven Compliance and Security in Cloud Environments: A Blue-Green Infrastructure Approach. In Integrating Blue-Green Infrastructure Into Urban Development (pp. 245-270). IGI Global Scientific Publishing.
Antiya, D. (2024). DevOps for Compliance: Building Automated Compliance Pipelines for Cloud Security. Xoffencer international book publication house.
Daka, M. K., Zhong, J., & Antiya, D. S. (2024, July). Revolutionizing Multiplayer Gaming: A Deep Dive into VisionXO, a 3D Multiplayer Tic-Tac-Toe Game. In World Congress in Computer Science, Computer Engineering & Applied Computing (pp. 242-246). Cham: Springer Nature Switzerland.
Sudhakar, V. M. (2025). AI-Driven Network Optimization Improving Connectivity and User Experience Through Intelligent Design for Blue-Green Infrastructure Projects. In Integrating Blue-Green Infrastructure Into Urban Development (pp. 45-60). IGI Global Scientific Publishing.
Sudhakar, V. M. (2022). Advancements in Automl: Designing Scalable Solutions for Enterprise Data Science Platforms.
Sudhakar, V. M. (2025). Applied Science and Engineering Journal for Advanced Research.
Sudhakar, V. M. (2020). Optimizing Supply Chain Management in Oil and Gas with Machine Learning: A Data-Driven Approach for Cost Reduction and Efficiency.
Sudhakar, V. M. Enhanced Weather Prediction for Optimizing Renewable Energy Production using Artificial Intelligence.
Sudhakar, V. M. INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING.
Sudhakar, V. M. MACHINE LEARNING-BASED ANOMALY DETECTION IN INDUSTRIAL IOT SYSTEMS: ENHANCING PREDICTIVE MAINTENANCE FOR COMPLEX EQUIPMENT.
Sudhakar, V. M. Revolutionizing Public Transit: AI-Powered Autonomous Vehicles for Smarter, Safer, And More Efficient Systems.
Sudhakar, V. M. ADVANCED ANOMALY DETECTION IN WAFER MAPS USING DEEP LEARNING.
Katru, C. R. (2025). Building Tomorrow: A Data and Automation-Driven Future for Social Equity. In Advancing Social Equity Through Accessible Green Innovation (pp. 93-108). IGI Global Scientific Publishing.
Sundararamaiah, M., Katru, C. R., Kolli, C. S., Sutaria, K., Rao, K. V. B., & Maranan, R. (2025, March). Similarity-Navigated Graph Neural Network-Based Fraud Detection in Credit Card Transactions Optimized with the Greylag Goose Algorithm. In 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS) (pp. 1319-1325). IEEE.
Gami, S. J., Katru, C. R., & Shah, K. N. Enhancing Software Reliability: The Role of Automated Continuous Integration and Continuous Delivery. International Journal of Computer Applications, 975, 8887.
Katru, C. R., Srinivasan, S., TG, M. K., Yadwad, S., Satish, G., & Maranan, R. (2025, March). Enhancing Sovereign Allocation of Resources in Cloud Milieus Using a Causal Dilated Geometric Algebra Approach for Dynamic Scalability. In 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS) (pp. 1562-1568). IEEE.
Gami, S. J., Shah, K., Katru, C. R., & Nagarajan, S. K. S. (2024). Interactive Data Quality Dashboard: Integrating Real-Time Monitoring with Predictive Analytics for Proactive Data Management.
