QASWP — Quantum-AI Secure Weaving Protocol

Version: 2.2.0 | Status: Research Preview (Royalty-Bearing License) | Owner: CPUTER Inc.

Overview

QASWP is a hybrid Quantum Key Distribution (QKD) and Neural Semantic Transport framework developed by CPUTER Inc.
It enables predictive, verifiable, and secure communication for the emerging Quantum Internet.

Through a unique fusion of quantum key exchange, neural compression, and zero-knowledge model verification,
QASWP provides a secure and efficient transport layer (Layer 4) for connecting quantum computers and AI agents across distributed systems.

Core Capabilities

🔐 Hybrid Quantum Security — Combines QKD (BB84) for physical key security with Kyber + Dilithium post-quantum cryptography.
🧠 Neural Semantic Compression — Reduces transmission overhead by predicting data context with TinyLLM models.
⚛️ Entanglement Synchronization — Uses simulated entangled states for zero-latency context updates between peers.
🧾 Verifiable AI Outputs — Implements zk-proof-like checks to verify inference integrity without exposing the underlying model.
🧩 Qiskit Integration (v2.2+) — Feature-flagged QKD handshake using IBM Quantum’s backend (optional).

Technology Stack

Language: Python 3.10+
Frameworks: PyTorch, QuTiP, Cryptography, Qiskit (optional)
License: CPUTER Proprietary (Royalty-Bearing)
Repository: github.com/cputer/QASWP
Whitepaper: QASWP v2.1 Whitepaper
IETF Draft: draft-ietf-qirg-qaswp-01.txt

Scientific Highlights

QASWP achieves up to 99 % semantic compression efficiency in repeated communication scenarios by leveraging predictive context rather than data redundancy.
This aligns with Shannon’s theoretical entropy limits — the protocol reduces conditional entropy rather than violating information bounds.

A reproducible Proofs CI Suite validates each major claim:

Compression benchmark ≥ 95 % (typical ≥ 99 %)
QKD key symmetry and QBER detection
Entanglement stub verification (0-byte sync)
64-byte succinct proof validation

Commercial Licensing

QASWP is distributed under the CPUTER Proprietary (Royalty-Bearing) License.
Non-commercial research and educational use are permitted under a free evaluation license.
Commercial or for-profit use requires a paid license and royalty agreement.

For partnership, OEM integration, or enterprise deployment inquiries, please contact:
📧 [email protected]

Get Started

pip install -r requirements.txt
python examples/server.py (in one terminal)
python examples/client.py (in another)

Expected output:

[QASWP Client] Handshake successful! QBER=0.00% | Session Key derived.
[Result] Neural Prediction MATCH! (0 bytes transmitted)
[Stats] Compression Ratio: 99.8 % 🚀