FPAI v2.3: A Quantum Probability Framework for Advancing Probabilistic Artificial Intelligence
Year: 2025
Type: preprint
Abstract: 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.
Author: Bulla, Francesco
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W6912288030
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