Quantum-enhanced throughput pathways: Integrating Rodgers' TPM with quantum ethical frameworks for AI-driven...

Area of Science:

• Computational Ethics
• Cybersecurity
• Quantum Information Theory

Background:

• Existing AI ethics frameworks lack cognitive realism and scalable AI implementation.
• Moral psychology models struggle with AI integration and structured moral reasoning.
• Quantum cognition offers formalisms for complex decision-making but lacks structured ethical application.

Purpose of the Study:

• To advance Quantum-Enhanced Throughput Modeling (Q-TPM) as a novel framework for ethical decision-making in AI-driven post-quantum cybersecurity.
• To integrate psychological, ethical, and quantum-information perspectives for dynamic moral tension modeling.
• To resolve fragmentation between cognitive theory, AI ethics, and quantum advancements.

Main Methods:

• Conceptual review synthesizing psychological, ethical, and quantum-information perspectives.
• Extension of Rodgers' Throughput Model (TPM) with quantum-inspired mechanisms (superposition, entanglement).
• Integration of six ethical orientations within a quantum-enhanced P-I-J-D architecture.

Main Results:

• Q-TPM enables dynamic modeling of complex moral tensions in high-stakes cybersecurity scenarios.
• Simulation-based validation demonstrated pathway interactions and stability under perturbations.
• Q-TPM provides a theoretically integrative and practically deployable advancement for cybersecurity governance.

Conclusions:

• Q-TPM bridges classical cognitive theory with quantum-inspired computational ethics for robust AI decision-making.
• The framework offers direct applications in AI oversight, ethical auditing, and human-AI simulations.
• Q-TPM represents a significant advancement in ethical AI governance for post-quantum cybersecurity.