Post-Quantum Security for Pharmaceutical Supply Chains

Partha Majumdar

L. Sherin Beevi, Ponsy R. K. Sathia Bhama, P. M. Joe Prathap +1 more

A quantum-enabled blockchain architecture for secure and efficient supply chain management is created by combining quantum optimization, decentralized transaction control, and post-quantum security enforcement. Supply chain decision factors such as supplier allocation, routing optimization, and inventory coordination are framed as combinatorial optimization problems and solved using the Quantum Approximate Optimization Algorithm. The optimum decision outputs are carried out via blockchain-based smart contracts, which enable automatic validation, transparent processing, and immutable transaction storage. A quantum-resistant security layer allows for safe authentication, encrypted communication, and attackresistant transaction verification against both classical and quantum adversaries. A multi-tier simulated supply chain environment is used to evaluate system performance, which includes measures such as latency, throughput, optimization accuracy, security resilience, and operational cost. When compared to traditional supply chain and blockchain-based implementations, the results show faster convergence, lower transaction latency, more security, and greater transparency. The findings support the efficacy of combining quantum optimization, decentralized ledgers, and quantum-resilient encryption for next-generation intelligent supply chains.

Poshan Kumar Reddy Ponnamreddy

The convergence of quantum computing and enterprise resource planning systems represents a transformative paradigm shift in organizational computing architecture, fundamentally altering how enterprises address computational challenges across pharmaceutical serialization, supply chain optimization, and resource allocation domains. This article examines the architectural foundations of major quantum computing platforms, including IBM Qiskit, AWS Braket, Google Cirq, and Microsoft Q#, evaluating their strategic fit within enterprise contexts through detailed analysis of programming frameworks, hardware characteristics, and integration pathways. The quantum computing landscape has evolved beyond theoretical promise to demonstrate measurable utility in specific application domains, particularly combinatorial optimization problems that exhibit exponential classical complexity. Pharmaceutical serialization systems benefit from quantum cryptographic protocols, including Quantum Key Distribution and Quantum Random Number Generators, establishing information-theoretically secure supply chain traceability immune to computational attacks. The quantum-ERP integration implementation architecture will depend on hybrid architectures that combine the best of many platforms: AWS Braket allows access to hardware of multiple vendors, providing the ability to perform systematic performance benchmarking; IBM Qiskit offers established optimization algorithms with demonstrated enterprise applicability; Microsoft Q+ provides organized programming environments that can meet pharmaceutical validation needs; and Google Cirq allows quantum machine learning integration into existing analytics pipelines. The strategic plan leading to quantum-enhanced enterprise systems requires focused attention to the existing limitations of the Noisy Intermediate-Scale Quantum devices, error reduction mechanisms, as well as phased implementation methods that would add value step by step toward the future with error-free quantum benefit. Organizations positioning themselves at the quantum computing frontier establish competitive advantages in operational efficiency, cryptographic security, and analytical sophistication essential for success in increasingly complex global markets.

Pavithra Parthasarathi, Nivedha S., S. V. Krishnamoorthy +1 more

Rashmi R. Singh, Ruchira Singla, Amir Abdelwahed

The integration of quantum computing into supply chain management is poised to revolutionize the field by addressing critical challenges such as data security, process optimization, and risk mitigation. At the core of this transformation lies mathematics and statistics, which form the foundation of quantum computing and cybersecurity. This chapter explores the pivotal role of mathematical disciplines—including number theory, modular arithmetic, linear algebra, and probability theory—in developing quantum algorithms for supply chain security. It highlights the application of statistical models in risk assessment, anomaly detection, and resource allocation, which are essential for safeguarding supply chain networks. The chapter delves into quantum cryptography, focusing on Quantum Key Distribution (QKD) and post-quantum cryptographic methods to ensure secure communication in supply chain ecosystems. Additionally, it examines the role of quantum-enhanced machine learning and mathematical modeling in detecting vulnerabilities, predicting risks, and optimizing operations. Case studies illustrate practical implementations of quantum technologies in supply chains, showcasing how advanced mathematics enables resilient and efficient systems. By bridging theoretical foundations and real-world applications, this chapter underscores the transformative potential of quantum computing, powered by mathematics and statistics, in advancing cybersecurity and enhancing the robustness of modern supply chains.