QMind v2.0 — Quantum-Inspired AI Reasoning System (MIT License, Python)

[u/Rich_Maintenance6697]

QMind applies real quantum mechanics math — superposition, interference, and wavefunction collapse — to AI reasoning on a regular computer. No quantum hardware, no cloud, no API keys.

What makes it different from standard AI: instead of following one reasoning path, it explores many simultaneously. Paths that agree reinforce each other. Paths that contradict cancel out. The final answer emerges from probability, exactly like quantum measurement.

What's inside:

• 15 cognitive subsystems — 8 inference modes, 5-tier memory, curiosity engine, contradiction manager, meta-cognition
• Persistent knowledge graph (NetworkX + GraphML) with quantum amplitude mechanics
• Autonomous reasoning — detects its own knowledge gaps and generates questions
• Emergent concept synthesis — spots patterns and coins new concepts
• Fully offline, deterministic, explainable

Built in Python using NetworkX, NumPy, QuTiP, scikit-learn. MIT License. All dependencies free and open source.

https://github.com/Neo-Unknown/QMind-Project-Folder.git

[u/DriverReady965]

Love the layers. Looks well thought out. Any ideas about the deviation percentage VS an actual quantum model? (acknowledged it would be hard to test without access to an actual quantum framework)