Download QG-Shield SDK

Get started with revolutionary quantum error suppression. Download our open-source SDK and transform your quantum computing research today.

Python SDK

Full-featured Python library with comprehensive error suppression

Qiskit, Cirq, and AWS Braket integration
Advanced noise models and algorithms
Comprehensive documentation and examples
MIT licensed - free for commercial use

Or install via pip:

pip install qgshield

Research Edition

Advanced features for cutting-edge quantum research

Academic & Research
Everything in Python SDK
Experimental algorithms and models
Direct access to research team
Early access to new features

Free for academic research and open source projects

Get Started in Minutes

Follow these simple steps to integrate QG-Shield into your quantum computing workflow

1

Install the SDK

pip install qgshield
2

Import and Configure

from qgshield import QGShield
shield = QGShield()
shield.configure(noise_model="qg_fluctuation")
3

Apply Error Suppression

# Your existing quantum circuit
circuit = create_quantum_circuit()

# Apply QG-Shield error suppression
suppressed_circuit = shield.suppress_errors(circuit)

# Execute with improved fidelity
result = execute(suppressed_circuit)

System Requirements

QG-Shield is designed to work on any system that supports Python

Python

  • • Python 3.11 or higher
  • • pip package manager
  • • virtual environment (recommended)

Dependencies

  • • NumPy 1.24+
  • • SciPy 1.10+
  • • Qiskit 0.44+ (optional)
  • • Cirq 1.2+ (optional)

Hardware

  • • 4GB RAM minimum
  • • Multi-core processor
  • • 1GB free disk space
  • • Internet connection for updates

Need Help Getting Started?

Our team of quantum computing experts is here to help you succeed. Get personalized support and implementation guidance.

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