Color-Based Quantum Ontology (CQO) Core Logic Library
Project description
Color-Based Quantum Ontology (CQO) - Python Library
The Universal Standard for Chromatic Quantum Simulation & Security.
cqo-py is the official Python implementation of the Color-Based Quantum Ontology. Designed for AI backends, Scientific Computing, and Secure "Zero-Knowledge" architectures.
📦 Installation
pip install cqo-py
🚀 Core Features
- Chromatic Vectors: 3-Axis simulation (
Cr0,Cr1,Cr2). - Unitary Evolution: Time-based state rotation.
- Entanglement: Bell State correlation logic.
- 🛡️ Digital Sealing: Convert File Hashes into Quantum Signatures.
- 🔑 QKD: Simulate Quantum Key Distribution handshake.
- 🌊 Noise Engine: Deterministic Chaos simulation.
📚 Usage Examples
1. Basic State Simulation
from cqo import ChromaticState
# Initialize a pure Coherent State
state = ChromaticState(1.0, 0.0, 0.0)
# Evolve time
state.evolve(0.5)
# Interact (Shear)
shear_metric = state.interact(0.1)
print(f"Shear Metric: {shear_metric}")
2. File Sealing (The "Digital Wax")
Create a unique "Quantum Signature" from any file's SHA-256 hash.
from cqo import FileSealer
file_hash = "a3f5c2d1..." # SHA-256 of your document
signature = FileSealer.seal(file_hash)
print(f"Signature Vector: {signature.vector}")
# Verify integrity
is_valid = FileSealer.verify(signature, file_hash)
3. Quantum Key Distribution (QKD)
Simulate a secure handshake between two systems.
from cqo import QuantumSystem, QKDSession
alice = QuantumSystem("Alice")
bob = QuantumSystem("Bob")
session = QKDSession(alice, bob)
result = session.negotiate_key(256)
if result['success'] and result['is_secure']:
print(f"Shared Secret: {result['key']}")
👤 Author & Support
Created by Siddhu Chelluru
Founder, CRYPTOPIX PRIVATE LIMITED
- Email: founder@cryptopix.in
- Support: support@cryptopix.in
- Website: https://cryptopix.in
© 2026 CRYPTOPIX PRIVATE LIMITED. All Rights Reserved.
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