Tutorials

Welcome to the QuScope tutorials! These guides will walk you through the key features and capabilities of QuScope.

🎯 Tutorial Overview

Basic Tutorials - basic_quantum_encoding - Learn the fundamentals of quantum image encoding - working_with_backends - Set up and use different quantum backends - image_preprocessing - Preprocess images for quantum algorithms

Advanced Tutorials - quantum_machine_learning - Implement QML algorithms for microscopy - eels_analysis - Analyze EELS data with quantum techniques - custom_algorithms - Create your own quantum microscopy algorithms

Applications - microscopy_workflows - Complete workflows for real microscopy data - performance_optimization - Optimize your quantum algorithms - hardware_deployment - Deploy on real quantum hardware

📚 Prerequisites

Before starting these tutorials, you should have:

  • Basic understanding of Python programming

  • Familiarity with NumPy and image processing concepts

  • Basic knowledge of quantum computing (helpful but not required)

  • QuScope installed (see Installation)

🔗 Additional Resources