Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

This project is for educational purposes only. You should not construe any such information or other material as legal, tax, investment, financial, or other advice. Nothing contained here constitutes ...

Beginner-friendly start: Python’s simple, readable syntax makes it approachable for those without coding experience, allowing learners to focus on problem-solving instead of complex technical details.

mlip is a Python library for training and deploying Machine Learning Interatomic Potentials (MLIP) written in JAX. It provides the following functionality: 🎙️ For further information on the design ...