mindspore-ai/mindquantum ? reverse-engineered prompt

Build me a Python library for quantum machine learning that lets me create parameterized quantum circuits, run them on a simulator, and train simple quantum neural networks. I want it to support basic gates, measurements, circuit composition, and a way to plug circuits into a training loop so I can optimize parameters for things like classification or simple chemistry style examples.

Please include a few easy examples in the repo, plus basic tests so I can verify the main features work. If it helps, look up the current docs online for any MindSpore related setup details, but keep the code and usage simple enough that someone can follow the quick start without already knowing a lot about quantum computing. Also make sure it can be installed and built cleanly from source.