Disaster Management in the Era of Industry 6.0: Leveraging Quantum Computing for Enhanced Resilience and Sustainability

The use of Industry 6.0 technologies, such as quantum computing, in disaster management, is examined in this chapter, with an emphasis on increasing overall resilience, optimizing resource allocation, and boosting prediction accuracy. The research uses a multimodal methodology that includes case studies, simulation studies, theoretical analysis, and the construction of quantum algorithms. Analyzing present disaster management issues, investigating possible uses for quantum technologies, and assessing their effects on resilience and sustainability in urban and rural settings are some of the main goals. The methodology includes the creation of quantum algorithms for dynamic resource allocation in multi-disaster scenarios, real-time disaster detection using satellite imagery, and multi-hazard risk assessment. The outcomes show notable gains in the precision of disaster forecasting and the effectiveness of response measures. A hurricane prediction model with quantum enhancements, for example, showed a 30% increase in trajectory accuracy after 72 h. In multi-disaster situations, an optimization system for resource allocation inspired by quantum mechanics shows a 15–20% increase in efficacy in minimizing the total impact. The research also emphasizes the difficulties in integrating these technologies with current systems, financial obstacles, and moral issues pertaining to data protection and fair access. Future directions are covered in the chapter's conclusion, with a focus on the necessity of interdisciplinary cooperation and ethical frameworks to direct the proper application of quantum technologies in crisis management. This study adds to the expanding corpus of information on Industry 6.0 technologies in disaster management and provides useful information for practitioners, researchers, and policymakers.