Quantum Networks and Their Applications in AI

M. V. Altaĭsky, N. E. Kaputkina

Nancy Alshaer, Tawfik Ismail

The introduction of 6G networks presents unprecedented challenges in data transmission speed and efficiency, motivating the investigation of AI-Enabled Quantum Networks. This paper investigates the integration of artificial intelligence (AI) algorithms into quantum networks to optimize data transmission for 6G. Quantum networks can adapt dynamically to varying network demands and traffic patterns through using AI for resource allocation, qubit management, and gate optimization. The study investigates potential applications of AI-enabled quantum networks in scientific research, financial services, healthcare, and telecommunications, highlighting the benefits of faster collaboration, enhanced data security, and improved connectivity. However, challenges such as developing robust AI algorithms for quantum systems and ensuring network security must be addressed. The integration of AI and quantum technology opens new opportunities for advanced communication networks in 6G, promising innovations in real-time data processing, predictive modeling, and personalized services. As technological challenges are overcome and quantum network capabilities are developed, the potential for penetration of applications and services appear limitless.

Huaixin Cao, Feilong Cao, Dianhui Wang

Swati Tyagi, Supriya Pathak, Vijilius Helena Raj +3 more

The integration of quantum networks with AI-driven systems holds transformative eventuality for threat operation across colorful diligence. This chapter explores the innovative operations of quantum networks in enhancing AI-driven threat operation strategies. Quantum networks offer unknown computational power and security features, enabling more sophisticated and accurate threat assessment models. By using quantum computing's capability to reuse vast quantities of data and perform complex computations at unknown pets, AI algorithms can identify and alleviate pitfalls with lesser perfection. Also, quantum cryptography ensures robust data protection, addressing security enterprises essential in threat operation. The chapter discusses the community between quantum networks and AI, pressing case studies, and practical executions in finance, healthcare, and cybersecurity. It also addresses the current challenges and unborn prospects of integrating these advanced technologies. The findings suggest that quantum network operations can significantly elevate the effectiveness.

憲明 幸田

Meera K. L., Prithu Sarkar, K Aravinda +3 more

By enhancing computational capabilities, data processing rates, and decision-making accuracy, the integration of AI and quantum networks has the potential to significantly enhance organisational performance.Quantum networks are an exceptional foundation for artificial intelligence applications because they enable rapid communication and guarantee the secure transfer of data. The objective of this investigation is to evaluate the advantages and disadvantages of integrating quantum networks with artificial intelligence (AI). It also intends to investigate the potential effects of this integration on various sectors, including strategic planning, operations, and customer service. The research endeavours to offer a glimpse into the potential future challenges that may result from this combination. The current advancements in the sector are assessed in this article, and case studies are provided to demonstrate the substantial transformation that these technologies can bring to firms by improving efficiency, promoting creativity, and obtaining a competitive advantage.