Quantum Challenge Grader

Grading client for the IBM Quantum Challenge grading service.

Run locally

Pre-requisites:

• IBM Quantum account
• Python (3.10 or later) environment with
  • Classic Jupyter Notebook interface or JupyterLab

To install the grader locally:

1. In the Python environment, install the grading client: pip install qc-grader

2. Configure the QC_API_KEY environment variables

   From a terminal (before launching your JupyterLab environment), enter

   export QC_API_KEY=your_ibmcloud_api_key
   

   where your_ibmcloud_api_key is your IBM Cloud API Key found in your Account page.

   Alternatively, if you prefer you can instead run the following at the top cell of a notebook cell (whenever you start/restart the kernel)

   %set_env QC_API_KEY=your_ibmcloud_api_key
   

   Note1: you can check if the environment variable has been set by running the following in a notebook cell:

   import os
   print(os.getenv('QC_API_KEY'))
   

   Note2: If you already installed qiskit-ibm-runtime and saved your token by using QiskitRuntimeService by following this instruction once, you don't need to set-up the env variable. You can save your token by using QiskitRuntimeService like below:

   from qiskit_ibm_runtime import QiskitRuntimeService
   QiskitRuntimeService.save_account(
       channel="ibm_quantum",
       token="<YOUR_TOKEN>",
       set_as_default=True,
       overwrite=True,
   )
   

Usage

1. Open an exercise notebook

   • In IBM Quantum Lab, the notebooks can be found in the quantum-challenge folder in the Lab files panel
   • For local install, download the notebooks (from IBM Quantum Lab or specific challenge repo) and import into local Jupyter environment

2. Run the notebook cells, answering the exercises and submitting solution for grading. For example

   from qc_grader.challenges.challenge_2021 import grade_lab1_ex1 
   
   grade_lab1_ex1(qc_1)
   

   from qc_grader.challenges.challenge_2021 import grade_lab1_ex2 
   
   grade_lab1_ex2(qc_2)