FPAI v2.3: A Quantum Probability Framework for Advancing Probabilistic Artificial Intelligence
FPAI (Force Francesco Probability Artificial Intelligence) v2.3 is a private quantum-inspired probabilistic framework designed to enhance decision-making in AI systems under uncertainty. It integrates classical Bayesian reasoning with quantum principles such as state superposition, wave function collapse, and the uncertainty principle. The current release includes simulation-based testing, a simplified Shor algorithm module, and a Python prototype. This version is privately owned by Dr. Francesco Bulla and the Brainverse administration team. No public use, redistribution, or commercial deployment is allowed. IP Note: This software and theoretical model are protected by absolute intellectual property rights. Any form of reproduction, training, or use without explicit permission is strictly prohibited.
Authors
- Francesco BULLA (ORCID: https://orcid.org/0009-0006-0353-021X)
Institutions
- Allen Institute for Brain Science (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-28
- DOI
- https://doi.org/10.5281/zenodo.20986445
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- preprint