Geo spatial query system using quantum NLP seeks to redefine query processing capabilities using a state-of-the-art toponym recognition system using Quantum Natural Language Processing (NLP) Developed using Python and the NLTK library, improves user interaction by using toponyms a presented in natural language. In addition to traditional models, it integrates quantum NLP analytics to optimize query processing. Key improvements include NLP library integration, Flask-based UI, and fuzzy matching algorithms for location detection. This new approach solves a major shortcoming of the existing system, and provides a sophisticated and intuitive user experience. Users enter questions, and the system provides answers with contextual information drawn from the entire list of sources.