Programming Quantum Computers:
A Primer with IBM Q and D-Wave Exercises

Requirements: Laptop and Internet access, basic Math and Python.

Introduction: Slides

Part 1: Intro to Quantum Computing
- Slides
Part 2: IBM Q -- Quantum Gate Programming
- Slides
- Install Python if needed. Recommended: Anaconda Python 3.6.8
- Install IBM Qiskit. (No need to install qiskit-aqua for this tutorial.) When you create a conda environment, use python=3.6 to avoid problems with the Aer provider.
- Install matplotlib and Jupyter notebook in your Qiskit environment.
- We may not have time to use the IBM Q hardware, but if you want to try later:
  - Create an account at the IBM Q Experience web site -- click on "Sign In"
- Slides: Using IBMQ public hardware
- Code Examples:
Part 3: D-Wave -- Adiabatic Quantum Programming
- Quantum Annealing and D-Wave slides
- Programming a Quantum Annealer slides
Part 4: Programming Exercises
- Quantum Circuit Exercises:
- Qiskit Exercises:
- Adiabatic Exercises:
  - Annealer Simulation using the Quantum Apprentice Spreadsheet
    - 3-qubit xor with ancilla qubit
    - full adder
    - 3-bit adder
    - n-bit adder
  - D-Wave Ocean Programming
    - D-Wave factoring tutorial
    - Jupiter Notebook (Factoring Example)
    - DYI factoring exercise
    - Map coloring challenge: break this up into pieces to color the U.S. (as all states will not fit onto the D-Wave 2000Q)

Links to Resources on the Web

Programming Quantum Computers:A Primer with IBM Q and D-Wave Exercises