I built AutoML for quantum machine learning — here's the architecture

Machine Learning is an AI branch allowing computers to learn patterns from data using features and labels instead of hand-written rules. To address challenges in quantum machine-learning, such as manual circuit coding and hyperparameter guessing, Quoptuna provides an AutoML web app. This Apache-2.0 tool executes hyperparameter searches across 21 quantum and classical classifiers, prunes weak configurations, audits models for fairness, and utilizes SHAP for explanations, simplifying the creation of trustworthy quantum models.