QuantumPay: A Multichain Blockchain Payment System using Quantum Cryptography and AI Driven Fraud Detection

Abstract

Quantum computing has positioned itself as a serious threat to traditional cryptography, undermining the very foundation of present-day methods of transaction and the popularly used digital payment systems. Here lies an interest in proposing a platform that can remedy these quantum-age risks present in payment mechanisms. The intended aim thus becomes that of building a secure and scalable payment system that uses quantum computing algorithms to train AI models for fraud detection in real-time, QKD to manage key security, and PQC to securely encrypt transaction data. For privacy, ZKP will be used to verify the transaction without revealing any details from it. Also, the platform will integrate multichain blockchains with quantum sharding, allowing separate processing, and distribution of transaction storage. Experimental results have shown that the proposed platform can resist quantum attacks, attain more accuracy in ratio detection, and improve the transaction speed more than the average blockchain solutions. The novelty of this research stands on the enhanced multichain blockchain architecture and improved Zero-Knowledge Proof protocols, which improve scalability and privacy. By bringing multichain architecture, quantum computing, QKD, and PQC into one model, this platform sets the benchmark for a secure, scalable, and affordable digital payment system.