Applications

QBioCode provides standalone applications for common quantum machine learning workflows. These apps offer user-friendly interfaces and configuration-based workflows for complex analyses.

QProfiler

QProfiler is an automated benchmarking tool for comparing quantum and classical machine learning models. It provides:

• Systematic model evaluation across multiple algorithms

• YAML-based configuration for reproducible experiments

• Automated performance metrics collection (accuracy, F1-score, AUC)

• Statistical analysis and visualization tools

• Support for custom datasets and embeddings

See the QProfiler documentation for detailed usage instructions.

QSage

QSage is an intelligent meta-learning system that predicts which machine learning models will perform best on your dataset before you run them. By learning from data complexity patterns across multiple datasets, QSage provides data-driven model recommendations.

• Learns from History: Trains on data complexity metrics and model performance from previous experiments

• Predicts Performance: Estimates how well each model will perform on new, unseen datasets

• Ranks Models: Provides confidence-weighted rankings of classical and quantum models

• Saves Time: Helps you focus computational resources on the most promising models

See the QSage documentation for detailed usage instructions.