This repo contains all the resources for the Symposium on Data Science and Statistics (SDSS) 2020 workshop on "Introduction to programming quantum computers". The workshop was organized by the Quantum Open Source Foundation and took place on June 3rd 2020 in a virtual Webex meeting. It was conducted by Mark Fingerhuth. We would like to thank the Rigetti Computing team and give credit to some of their (previous) employees (Nikolas Tezak and Will Zeng specifically) since some of our slides used some of their resources and slides.
For the two Jupyter notebooks to work you need to run your on simulator and compiler instance on your local machine. To do so, please follow the instructions in the Rigetti documentation and install the Forest SDK such that you can run your own qvm and quilc instances.
Upon successful installation, you should be able to open a new terminal window and run the following two commands:
$ qvm --version
$ quilc --version
If these commands are successful you need to open two separate (!) terminals. In one of them you run quilc -S and in the other one you run qvm -S. It's important that you let these two services run whilst you're working on the exercises. These services provide you with a quantum simulator and a quantum compiler.
In order to open the Jupyter notebooks you simply run:
$ jupyter notebook
in this directory.
We discourage you from opening the notebooks with Google Collaboratory since you won't be able to run the code. This has to do with the fact that you can NOT run a quilc and qvm instance on the Google Collaboratory server.