🌌 Q-Net (Quantum Entanglement Network)

"Bridging the cosmic silence through instantaneous state teleportation."

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1. Project Description

Q-Net is a conceptual framework for a post-Internet communication architecture designed to overcome the fundamental light-speed latency limitations of classical networks. It proposes a radical shift from electromagnetic packet switching (TCP/IP) to Quantum State Teleportation, enabling effective zero-latency communication for an interplanetary civilization.

This repository contains the full architectural specification, agile implementation plans, and Python-based "Toy Models" validated on both local simulators and real IBM Quantum Hardware.

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2. The Problem: The Cosmic Bottleneck

Classical networking protocols fail at the interplanetary scale due to fundamental physics and design limitations:

• The Latency Wall: The speed of light is too slow. A standard TCP 3-way handshake between Earth and Mars can take up to 45 minutes, rendering real-time system control impossible.
• BGP Instability: Routing tables cannot converge over astronomical distances, leading to infinite routing loops and data packet expiration.
• Security Vulnerabilities: Wide-beam radio frequency (RF) signals in deep space are easily intercepted by adversaries without immediate detection.

Q-Net addresses these critical bottlenecks at a foundational, physical level.

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3. Core Concepts & Features

• 🚀 Zero-Latency Communication: Information is transmitted instantaneously via the collapse of an entangled quantum state, bypassing the speed of light.
• 🔒 Security by Physics: Governed by the No-Cloning Theorem, passive eavesdropping is physically impossible. Any interception attempt inherently destroys the data and alerts the network.
• 🧠 Cognitive Routing (Q-CAST): An AI-driven pathfinding algorithm that routes connections based on quantum link fidelity rather than physical distance.
• 🛰️ Decentralized Infrastructure: A resilient "Entanglement Fabric" formed by autonomous quantum repeater satellites.

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4. Architecture Overview

The Q-Net architecture replaces the traditional OSI model with a 5-layer stack dedicated to quantum state manipulation.

Layer	Name	Core Function
L5	Application Layer	Reality API: Interface for AI/Human consciousness sync.
L4	Transport Layer	State Consistency: Manages end-to-end fidelity and purification.
L3	Network Layer	Cognitive Routing: Finds the optimal path of entangled pairs.
L2	Link Layer	Reality Link: Executes the core teleportation protocol.
L1	Physical Layer	Entanglement Fabric: Generates, distributes, and stores entangled pairs.

For in-depth technical details, please refer to docs/Architecture_Spec.MD.

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5. Implementation & Proof of Concept

To provide a proof-of-concept for the "Reality Link" (Layer 2), we developed a 3-qubit quantum teleportation circuit to send a payload state (|1⟩) from Node A to Node B. We tested this on two different environments:

5.1 Local Simulation (simulation/)

• Environment: AerSimulator (Ideal conditions).
• Result: 100% Success Rate.
• Conclusion: Proves the mathematical and logical soundness of the Q-Net routing and teleportation architecture.

5.2 IBM Quantum Hardware Execution (IBM_Quantum/)

• Environment: ibm_torino (Real 133-qubit quantum processor).
• Result: ~51.36% Success Rate.
• Academic Insight: The drop in success rate on real hardware is expected due to Quantum Noise and Decoherence (Thermal Relaxation) during the mid-circuit measurement delay. This real-world limitation experimentally proves exactly why Q-Net's Layer 1 (Phononic Memory) and Layer 4 (State Consistency/Error Correction) are absolutely required for the network to function in reality.

For detailed circuit architecture and implementation specifications, refer to docs/Architecture_Spec.md.

5.3 How to Run

1. Install Prerequisites:

   pip install -r requirements.txt

2. Run Local Simulation:

   python simulation/teleport_simulation.py

3. Run on IBM Hardware (Requires IBM Cloud Token):

   python IBM_Quantum/teleport_test_on_ibm_quantum.py

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6. Repository Structure

This project is organized as follows:

Q-Net_Project/
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├── README.md                   # Main documentation and project overview.
├── requirements.txt            # Python dependencies (Qiskit, Runtime, etc.).
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├── docs/                       # Project documentation and specifications.
|   ├── Architecture_Spec.MD    
|   ├── Implementation_Plan.MD  
|   └── Sprint_Plan.MD          
|
├── IBM_Quantum/                # Real Hardware Execution.
|   ├── Result-01_Measurement-Result.png
|   ├── Result-01_Teleportation-Success-Rate.png
|   └── teleport_test_on_ibm_quantum.py
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└── simulation/                 # Local Ideal Simulation.
    ├── Result_Simulation-01.png
    ├── qnet_circuit.png        
    ├── qnet_histogram.png      
    └── teleport_simulation.py  

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7. Team & Contributors (Sprint Alpha)

• Quantum Architect: [Pattadon Khumnan 673380416-3]
• Product Owner / Strategist: [Sitthichok Moknak 673380428-6]
• Software Engineer: [Nattapat Chamtakhu 673380583-4]
• Network Analyst: [Sorawit Sukongchareun 673380606-8]
• Research & Ethics Analyst: [Amonwan Phimphichai 673380608-4]

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This conceptual project was developed as part of the CP352005 Networks course.