The Quantum-AI Revolution: How Quantum Computing will Supercharge Artificial Intelligence and Transform Business Strategy

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Kattamanchi Hemachandran, Raul Villamarin Rodriguez

This research paper analyses how quantum computing and artificial intelligence (AI) could be used to enhance resource utilisation within the cargo industry. Because more challenges are emerging in logistics and supply chain management within the sector, quantum computing has promising possibilities for improving AI techniques. The paper describes a survey carried out among industry professionals to identify the key challenges involved in real-time decisions and inventory, and to investigate the industry’s perception of quantum-AI’s effectiveness and sustainability. The results show that existing applications such as route optimisation and predictive analytics are the preferred solutions and hold significant promise for maximising business operational efficiencies and minimising carbon impacts. It is expected that adoption will be reached in 2–5 years; however, concerns including scalability issues and rigidity of workforce present major hurdles. The paper aims to shed light on the logistics industry’s future revolution in quantum computing and discusses some of the ways whereby the challenges can be addressed and sustainable development achieved.This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Shenson Joseph, Herat Joshi, Md. Mehedi Hassan +3 more

Itunu Taiwo, Adeyinka Ogunbajo, Adefemi Quddus Abidola

The convergence of quantum computing and artificial intelligence represents a transformative technological paradigm with unprecedented potential for business intelligence applications. This comprehensive review critically examines the revolutionary capabilities of quantum computing-enhanced AI systems in addressing complex computational challenges across multiple business domains. Through systematic analysis of emerging research, implementation frameworks, and interdisciplinary case studies, we investigate how quantum computing's unique computational mechanisms can fundamentally reshape data analysis, strategic decision-making, and predictive modeling. Our comprehensive examination reveals that quantum AI systems demonstrate remarkable potential to reduce computational complexity by up to 90%, enhance predictive accuracy by 60-75%, and provide unprecedented insights across financial, logistical, and strategic business intelligence domains. The research synthesizes evidence from multiple technological domains, highlighting the transformative potential of quantum-enhanced AI in solving previously intractable computational problems. By exploring technological capabilities, implementation challenges, and future research directions, this review provides a critical framework for understanding the emerging intersection of quantum computing and artificial intelligence in advanced business intelligence applications.

Shreemanti Chakraborty, Chandra Hasini Poguri, Gouthami Vangala

This research proposal delves into the transformative potential of integrating quantum computing and artificial intelligence (AI) into the field of neuromarketing. Neuromarketing, which leverages neuroscience to decode consumer behaviour, is on the brink of a significant revolution due to advancements in AI and quantum computing. This study aim to explore how these technologies can enhance our understanding of consumer preferences, improve marketing strategies, address the ethical consideration,

Sanniva Halder Bapon, Amandeep Kaur