This entry continues from installation of QuTiP.

1. Make sure you are in a Conda command prompt and the environment “cyber” is activated. As per official documentation, install qiskit and galois:

   pip install qiskit[visualization] qiskit-aer qiskit-ibm-runtime galois

   galois is not necessary for qiskit but necessary for our courses.

   Qiskit usually uses NumPy of a lower version than what QuTiP uses, so expect existing NumPy to be downgraded.

2. Subsequently, as per official documentation, install the qiskit_textbook package:

   pip install git+https://github.com/qiskit-community/qiskit-textbook.git#subdirectory=qiskit-textbook-src

   Qiskit Textbook is a community project offering learning resources that will be useful to us.

3. Test Qiskit in a Python shell:

   The two commands in the screenshot above ☝ should not trigger any error.

4. Next, test Qiskit in JupyterLab. To launch JupyterLab, as per official documentation, open a Conda prompt (not Python shell) and type:

   jupyter lab

   Expect a web browser window to be launched, where you can create a new “Python 3 (ipykernel)” notebook:

   Note ipykernel is an interactive Python kernel for Jupyter.

   Copying the first piece of code from the “Introduction to Qiskit” tutorial and pasting it into the newly created “Python 3 (ipykernel)” notebook should produce the circuit diagram at the bottom of this screenshot:

Qiskit comes with a super-quick introduction to Python and Jupyter notebooks.

Visual Studio Code is a popular alternative to a web browser for hosting Jupyter notebooks, but to minimise the number of software components that can go wrong, we shall stick with a web browser (for which Mozilla Firefox is recommended).