Hands-On Simulation Environment
Overview of the Simulation Lab
This Simulation Lab provides a fully executable, browser-based tutorial demonstrating how a Hybrid Quantum–Neural AI system enables predictive cyber resilience.
The simulation operates entirely in the browser and requires no backend services, cloud deployment, or software installation, making it suitable for academic evaluation, instructional labs, and executive-level demonstrations.
What the Simulation Demonstrates
The hands-on simulation illustrates:
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Real-time cybersecurity telemetry generated by a Hybrid Quantum–Neural AI model
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Predictive resilience using leading indicators that detect risk before system failure
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Integrated operational views across SOC, MLOps, QuantumOps, CloudOps, and Security Governance
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Automated mitigation actions and their measurable impact on system risk posture
Environment Setup
Step 1 – Download the Simulation Package
Download the Simulation Lab package from the project repository. All required files are included.

Step 2 – Extract the Files

Step 3 – Launch the Simulation
Option 1 (Fastest): open the HTML directly
Open the following file in any modern web browser:
docs/dashboard/index.html

Option 2 (Best experience): run a local web server (recommended)
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Open a terminal inside the unzipped hqai_cyberlab/ directory and run:
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Copy Server Commands (Copy and paste commands):
cd hqai_cyberlab/docs
python -m http.server 8000

3. Then open URL in your browser (Copy and paste Local URL):
http://localhost:8000/dashboard/

How to Use the Simulation
Once the dashboard loads, the simulation begins streaming mock real-time telemetry.
Users can:
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Monitor leading indicators such as pipeline lag, data drift, and adversarial pressure
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Switch operational scenarios:
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Normal Operations
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Adversarial Campaign
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Quantum Degradation
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Trigger automated response actions and observe changes in risk and resilience metrics
All interactions are fully simulated and safe for demonstration and learning purposes.
Intended Use Cases
This Simulation Lab is designed for:
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Cybersecurity capstone project demonstrations
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Academic instruction and laboratory exercises
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Executive and board-level briefings
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Training in AI-driven cyber resilience and risk management