Quantum AI Systems: Theory, Architectures, and Applications
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DOI — Digital Object Identifier Record

Concept DOI (Permanent Reference)

Master Concept DOI: 10.5281/zenodo.18955800

This DOI represents the entire Quantum AI Labs record and always resolves to the latest version on Zenodo. Use it when citing Quantum AI Systems: Theory, Architecture, and Applications in publications, presentations, or teaching materials.

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QAIS Foundational Doctrine

Quantum Artificial Intelligence Systems (QAIS) constitute a physically embodied, constraint-governed systems architecture in which representation, propagation, verification, learning, and control co-evolve across interacting quantum–classical environments.

QAIS treats intelligence as a systems-level phenomenon emerging through the controlled transformation, transmission, coordination, and stabilization of physically realized information within dynamically constrained environments.

Read the Full QAIS Doctrine →

Companion Research Resources

The companion laboratory implementations for this work are maintained in the official QuSciTech research repository.

QuSciTech Quantum AI Labs Repository

Version History

VersionDateDOINotes
v3 Oct 7 2025 10.5281/zenodo.18955800 Technical note and Pre-Release Notice update. Stable public reference.
v2 Oct 4 2025 10.5281/zenodo.18955800 Intermediate update — expanded DOI usage and citation information.
v1.0.0 Oct 4 2025 10.5281/zenodo.18955800 Initial release synchronized with Quantum AI Labs repository launch.

For errata or DOI corrections, email contact@quscitech.com.

Recommended Citation Format

Wilson, J. (2025). Quantum AI Systems: Theory, Architecture, and Applications. Zenodo. https://doi.org/10.5281/zenodo.18955800