Learning Qiskit

Table of Contents

• Learning Qiskit
  • Table of Contents
  • Notes 1
    • Getting started 2 3
      • Install
      • Start
    • Learning

Notes ¹

Getting started ^{2 3}

Install

docker build . -t qiskit-notebook

Build the Jupyter Notebook image as defined in Dockerfile. Then, tags (-t) it with the name 'qiskit-notebook'. Building the image will automatically install all of the dependencies listed in requirements.txt.

Start

docker run -p 8888:8888 --name notebook --env-file .env --rm -it -v "$(pwd)/notebook:/home/jovyan/work" qiskit-notebook

The above command runs the docker image previously created. It maps (-p) the container port 8888 to 8888 and names the container 'notebook'. It will also run the image with an integrated terminal (-it) and mount a volume (-v) from ./notebook to the work directory once opened in the Jupyter web editor. It will also conveniently remove (--rm) the container after you CTRL+C to kill the Jupyter server.

Learning

Most of the learning/notes is within the Jupyter notebook.

• Qiskit docs

• Quantum Computing principles ^{5 6 9 10 11 12 13 17 18 20 24 25 29}

• General Mathematics ^{7 8 16 19 21 23 28}

• Qiskit Programming ^{14 15}

• Quantum Applications (algorithms / protocols) ^{22 26 27 30 31}