IBM Qiskit

Run Circuits on Quantum Hardware you own this product

This project is part of the liveProject series Learn Quantum Computing with IBM Qiskit
basic linear algebra • basic Python • basic math • basic Jupyter Notebook
skills learned
quantum gates as matrices • circuit identities • phase kickback • Bloch spheres • run programs on IBM quantum hardware systems on quantum computers
Tony Holdroyd
1 week · 2-4 hours per week · BEGINNER

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Action at a Distance Corporation, a consortium of venture capitalists, believes that the time to invest in quantum computing startups is now. As the consortium’s researcher, your task is to gain knowledge of quantum computing capabilities.

You’ll explore matrix representations—mathematical underpinnings of quantum computing—and examine quantum circuits that use different arrangements of gates to achieve identical functionality. You’ll upgrade your quantum toolbox with phase kickback, an essential component of many quantum algorithms, and you’ll work with Bloch spheres, a way of visually representing qubits. You’ll then use two different methods to run a circuit on IBM quantum hardware, a task that will be commonplace in the not-so-distant future.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Tony Holdroyd

Tony Holdroyd has a master’s degree in computer science with postgraduate work in mathematics and shares his expertise in those subjects as a retired senior lecturer. Before retiring, he specialized in researching and teaching programming languages and led a number of teams that won significant contracts for degree-level courses from several educational institutions in the UK. Since retiring, he’s worked as a technical reviewer and beta-tester for a variety of major U.S. publishers, as well as being a published author in the machine learning space.


This liveProject is for anyone with basic algebra and geometry skills, basic complex number skills, basic Python programming skills, and a strong interest in learning about the physical principles and techniques of quantum computer programming using IBM Qiskit. To begin these liveProjects you’ll need to be familiar with the following:

  • Python programming basics
  • Basic algebra (equations and surds)
  • Basic linear algebra (vectors and matrices)
  • Basic geometry (diagrams and angles)
  • Basic complex numbers ( format and simple manipulation)
  • Basic probability (using fractions and normalization)
  • Basic classical computing
  • Basics of quantum computing and Qiskit
  • Use the command line in a terminal
  • Create a virtual environment in Python using Conda or otherwise
  • Install packages into a Python virtual environment, using pip
  • Code and run Python programs using Jupyter Notebook

you will learn

In this liveProject, you’ll learn essential mathematical concepts, components, and techniques that are widely used in quantum computing.

  • Programmatically demonstrate the equivalence of a selection of built-in gates with those you construct from their corresponding matrices
  • Programmatically demonstrate a variety of circuit identities
  • Programmatically explore phase kickback, an essential component of many widely used quantum algorithms
  • Work with the angles and vectors associated with three sets of basis states on Boch Spheres, highly useful for visually representing qubits
  • Run a circuit of your choice on IBM quantum hardware using two different methods
  • Prepare a briefing on IBM Qiskit quantum computing


You choose the schedule and decide how much time to invest as you build your project.
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book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

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