This repo is for the example challenges as part of the LinkedIn Learning Understanding Quantum Computing learning path.
The examples are in python and use qiskit - a toolkit for working with quantum computing on silicon machines.
For me, I created a Python virtual environment to run everything but I think the course has a codespace environment that you can spin up. To get anaconda going, definitely recommend setting up a virtual environment with something like anaconda or a python3 venv. I just use the latter mostly.
python3 -m venv ./venv
source ./venv/bin/activate
To run the jupyter notebooks, you will need to setup a venv and ensure you have installed the required modules. These include :
pip install qiskit
pip install qiskit[visualization]
pip install qiskit-aer
(of special note is that last qiskit-aer module, which the qiskit install instructions might have missed)