Quantum Machine Learning Library sQUlearn: Bridging the Gap Between Quantum Computing and Practical Applications

sQUlearn is a user-friendly, NISQ-ready Python library for quantum machine learning (QML) that enables seamless integration with classical machine learning tools like scikit-learn. It provides a comprehensive toolset for both QML researchers and practitioners, including quantum kernel methods and quantum neural networks, with features like customizable data encoding strategies, automated execution handling, and specialized kernel regularization techniques.