Documentation

Comprehensive technical references and implementation guides for our quantum computing and AI systems.

🚀 Getting Started 📘 System Architecture

Getting Started

Python SDK

pip install egegas-core

Local simulation tools with Jupyter support.

REST API

POST /api/run-simulation

Cloud-based execution for large-scale tasks.

Web Tools

/demo/quantum-visualizer

Browser-based interactive models.

System Architecture

Our architecture consists of modular components: quantum simulation engine, ethical guardrail layer, and secure execution environment. All components communicate through standardized API interfaces.

• Quantum state simulation framework
• Ethical constraint enforcement module
• Resource management system
• Visualization API gateway

Execution Flow

1. API request authentication
2. Ethical constraints validation
3. Quantum engine initialization
4. Result post-processing
5. Visualization formatting

API Reference

POST /api/simulate

Content-Type: application/json

Example Payload

{
  "type": "quantum_state",
  "parameters": {
    "qubits": 4,
    "duration": "short_term"
  },
  "constraints": {
    "ethical_profile": "research"
  }
}

GET /api/results/{id}

Accept: application/json

Example Response

{
  "state_vector": "[1.0,0.0,0.0,0.0]",
  "visualization_url": "/visualize/1234",
  "ethics_report_url": "/analysis/report/1234"
}

Best Practices

Resource Management

Use the /api/status endpoint to monitor system availability before simulations.

"constraints": {"max_time": "5m"}

Ethical Compliance

Review ethical reports for all results: GET /analysis/report/{id}

Recommended minimum: Run ethics validation workflow for all production use cases.