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

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