Quantum-Resilient Pharmaceutical Integrity and Predictive Monitoring System: A Novel Approach to Drug Supply Chain Intelligence

Abstract

Abstract The pharmaceutical supply chain faces critical challenges in maintaining drug integrity, ensuring regulatory compliance, and preventing medication waste. This research presents a comprehensive quantum-resilient monitoring system integrating federated machine learning, blockchain with Proof-of-Quality consensus, hyperspectral sensing, and zero-knowledge protocols. The Temporal Attention-Enhanced Federated Ensemble (TAFE) algorithm enables privacy-preserving collaborative learning achieving 94.3% detection sensitivity, identifying degradation 45 days before conventional methods. Edge architecture with ARM Cortex-M7 reduces cloud dependency by 87% with sub-500ms latency. Blockchain achieves 1,200 + TPS with 2.8s finality. Zero-knowledge proofs enable compliance verification in 1.6s without data disclosure. Field deployment across 25 locations validates 99.7% uptime with 87% user satisfaction.