2 November 2025 List of Tutorials

Mastering Algorithmic Mechanism Design on Quantum Computing Networks: Resilient Solutions for Cybersecurity

This tutorial presents a novel integration of algorithmic mechanism design (AMD) with quantum network architectures to address critical vulnerabilities in classical cybersecurity frameworks exposed by modern cyber warfare tactics. The approach uniquely combines inverse game theory principles with quantum network optimization techniques, specifically focusing on Blind Quantum Computing (BQC) protocols implemented through Measurement-Based Quantum Computing (MBQC) architectures and quantum Generative Adversarial Networks (qGANs). By developing a quantum-enhanced mechanism design framework for adversarial multi-agent systems, the work bridges critical gaps in trust minimization for distributed AI infrastructures through quantum-secured coordination protocols. The session structure follows three cohesive phases:

• Strategic Modeling: Application of inverse game theory to multi-agent quantum environments, analyzing Nash equilibria for optimal qubit allocation and error-correction tradeoffs while establishing security-efficiency Pareto frontiers for BQC protocols
• Adaptive Optimization: Demonstration of AMD-driven parameter tuning in MBQC systems using metaheuristic algorithms, validated through adversarial scenario simulations and qGAN-based quantum randomness certification
• Implementation Benchmarking: Cross-platform evaluation of AMD-optimized BQC implementations with accountability models for multi-agent quantum systems, including resource auditing protocols and fidelity verification metrics

The framework establishes mathematically verifiable security guarantees through three synergistic components: quantum-secured mechanism design principles, entropy-maximized measurement sequences, and game-theoretically optimized resource allocation. This integration enables simultaneously maintained cryptographic integrity and computational efficiency in multi-agent quantum networks - essential for deploying scalable, trust-minimized network infrastructures.