Examples

Collection of practical examples demonstrating QuScope capabilities.

πŸ§ͺ Basic Examples

Simple examples to get you started:

  • Quantum Image Encoding: Encode a simple image into quantum circuits

  • Backend Setup: Configure quantum simulators and hardware

  • Basic Visualization: Plot quantum circuits and measurement results

πŸš€ Advanced Examples

More complex applications:

  • Quantum Edge Detection: Detect edges in images using quantum algorithms

  • EELS Spectrum Analysis: Process electron energy loss spectroscopy data

  • Quantum Machine Learning: Train quantum models on microscopy data

πŸ”— Integration Examples

Real-world integration scenarios:

  • Workflow Automation: Automated processing pipelines

  • Performance Benchmarking: Compare quantum vs classical approaches

  • Hardware Deployment: Deploy algorithms on real quantum computers

πŸ“– Example Format

Each example includes:

  • Problem Description: What we’re trying to solve

  • Code Implementation: Complete, runnable code

  • Explanation: Step-by-step breakdown

  • Results: Expected outputs and interpretation

  • Extensions: Ideas for further exploration

πŸ”§ Running Examples

All examples are designed to run with a basic QuScope installation:

pip install quscope

# Optional: Install additional dependencies for visualization
pip install matplotlib jupyter

πŸ“₯ Download Examples

You can download all examples from the GitHub repository.

Or clone the entire repository:

git clone https://github.com/robertoreis/quantum_algo_microscopy.git
cd quantum_algo_microscopy/examples