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Phys 710 Content repository

These lectures are a mix of Qiskit Machine Learning book, our book and some exercises. They consist of a series of Jupyter notebooks.

1. For running these locally, you'll need:
   1. Conda
   2. git (optionally a github account)
   3. (optional) an IDE (like Dataspell or PyCharm)
   4. (optional) A server with GPUs
      you can also use services like IBMQ, however they offer very limited resources at free tier.
2. Create a conda environment that runs python=3.8 and has packages qiskit-machine-learning, jupyter
3. go to course github page and clone the repository
4. (you'll need to pull the updates at each lecture)