34714 Quantum Computing Algorithms for Disaster Recovery Using Genetic and Fuzzy Adaptive Method
P. Nithish, N. Jayapandian, Allen Sabu +1 more
Since quantum computing is based on ideas of superposition and entanglement, it will open new horizons in the field of disaster recovery and relief. Based on principles like superposition and entanglement, quantum computing holds immense and revolutionary potential in disaster relief operations. This is because, in the massive volumes of data produced during any kind of disaster, combined with the high level of complexity, response times and accuracy are often out of reach using traditional methods of computing. Quantum computing plays a revolutionary role in providing optimizations to the several stages of disaster management: prediction, readiness, response, and recovery. Quantum computers can be used to generate complex simulations using quantum parallelism and predict extreme weather conditions or several other disasters that can prove to be destructive to life and property. This can also be used to implement efficient evacuation in a timely manner. Quantum algorithms can also make resource allocation more efficient and ensure that essential supplies reach affected regions faster. Real-time processing and analysis of huge datasets enable good coordination among response teams and support dynamic decision-making. This article gives a very broad overview of the applications of quantum computing in disaster management protocols, providing insights into how quantum-enhanced algorithms can be used for generating simulations and for real-time analysis. These results are focused on developing efficient disaster management techniques that can better serve communities in the face of the increasing occurrence of natural and man-made disasters.
De Gruyter eBooks•Apr 28, 2025•0 citations