QUANTUM-INSPIRED ALGORITHMS FOR HIGH-DIMENSIONAL DATA COMPRESSION AND DEDUPLICATION

The emergence of rapid data proliferation due to Internet of Things (IoT) smart cities, effective storage,retrieval, and security operations are now a necessity. In this article, quantum-inspired blockchain-basedcybersecurity solutions are discussed, with emphasis on quantum-inspired algorithms for high-dimensionaldata compression and deduplication. Based on the principles of quantum superposition and entanglement,these algorithms minimize storage inefficiency, remove redundancy, and speed up retrieval in big datasystems. The research examines the ways quantum-inspired methods enhance data security, reducecomputational costs, and enable real-time processing of enormous amounts of IoT-generated data. Also, theimplementation of blockchain technology guarantees data integrity and provides tamper-proof storagecapabilities for applications in smart cities. The system reveals substantial performance benefits in terms ofstorage optimization, data transmission rates, and cybersecurity strength relative to conventionalcryptography and compression schemes