Qiskit Textbook

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Courses

Quantum computing is a big topic and working out where to start can be difficult. In this interactive textbook, the content is organised into courses with clear prerequisites and end goals. If you’re looking for something specific, you can browse all content, and if you can’t find what you’re looking for you can ask the community on Slack.

This free course covers quantum information at a detailed mathematical level. Join John Watrous as you explore quantum information, quantum algorithms, and how to understand and mitigate noise.

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This course teaches how to write variational algorithms: near-term, hybrid-quantum-classical algorithms that are ideal candidates to achieve quantum advantage. We'll also cover how to use Qiskit Runtime primitives to optimize for speed and accuracy.

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Not sure where to start? This path is for you. This introduction is aimed at audiences from all backgrounds. Whether you're keen to start your journey into quantum computing, or just curious as to what it's all about, this course will take you from zero to one, without the hand waving.

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Want to learn about this exciting, developing field? If you're familiar with quantum computing basics, this course will give you a primer on machine learning, walk you through key concepts, and bring you up to speed with recent developments.

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Chapters

These pages are not part of a course, but contain useful reference material.

Learn about the software used to write the Qiskit textbook (Python and Jupyter Notebooks), and set up your environment to reproduce the experiments.

This chapter introduces the computing concepts that we'll explore in later chapters, then introduces basic quantum concepts.

With the basics down, this chapter explores the consequences of these new quantum effects, and sets us up with tools to understand quantum algorithms.

In this chapter, we use quantum effects to build powerful algorithms, starting from simple proof-of-concept algorithms, through to Shor's famous factoring algorithm (and beyond).

In this chapter, we get a level closer to the real quantum machines. Learn about the physics of these devices, and how to program them at the level of microwave pulses.

If algorithms are the solution, then what is the problem? In this chapter, we look at how we can take general algorithms and apply them to more specific situations.

All circuit-based quantum devices share some similar characteristics and challenges. In this chapter, we explore how quantum circuits perform on modern quantum computers, and ways to improve performance.

This set of labs provides 7 different exercises you (or your students) can use to investigate the behaviour of current quantum computers and practice your Qiskit coding skills.

Check out games and demonstrations created in this textbook's environment; great for teaching, or just for fun!

Has the page you're using changed? Find it in the original version of the Qiskit Textbook.

Tutorials

Already understand quantum computing? These tutorials will show you how to use qiskit to do the thing you want to do.

Comfortable with quantum computing, but new to Qiskit? Learn how to create simple quantum circuits, and visualize quantum states.

Learn about the more advanced features of Qiskit's QuantumCircuit class, including how to create custom gates and how to use the transpiler to optimize your circuits and target different devices.

Qiskit includes powerful quantum simulators to investigate how quantum circuits will behave on both ideal, and noisy hardware. These tutorials show you how to use advanced features of these simulators.

These tutorials show you how to use Qiskit's built-in algorithms. Qiskit supports classic algorithms such as Shor's and Grover's, as well as more recent developments such as VQE and QAOA.

Learn how Qiskit represents quantum operators, and how we can use these to build sophisticated quantum programs.

Learn about the Iterative Quantum Phase Estimation Algorithm and how you can program it in Qiskit.

Summer schools

The Qiskit Global Summer Schools are one-of-a-kind sequences that takes students from beginner level to solving advanced quantum problems on a quantum computer. These two-week courses are designed to empower the next generation of quantum developers with the knowledge to explore quantum applications on their own.

This summer school provides a focused introduction to quantum computing and its applications to quantum simulation, with a specific focus on quantum chemistry. These lectures were first released as part of a two-week intensive summer school in July 2022.

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Designed to empower the next generation of quantum researchers and developers with the skills and know-how to explore quantum applications on their own. Starting with an introductory "crash course" on quantum computing, the materials continue to dive into and explore one key area: quantum machine learning.

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This introduction to the world of quantum computing explores key quantum algorithms, as well as the quantum hardware designed to run these algorithms. These lectures were first released as part of a two-week intensive summer school in July 2020.

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On other platforms

Check out Qiskit on other platforms.

Check out our YouTube channel for engaging lectures, tips & tricks, tutorials, community updates and access to exclusive Qiskit content!

Visit the Medium blog to read about Qiskit, programming quantum computers, and anything else related to quantum computing.

Helpful Resources

Documentation

The Qiskit Documentation is the right place for you if you are looking for the installation guide, release notes, or API references.

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Support Channels

If you need support on anything relating to using and developing Qiskit, you can use the following forums to direct your issue / queries to the appropriate audience.

Visit Support Channels

Slack

The Slack community is a great place to engage in discussion on research and quantum development.

Educators Program

This program helps teachers in the growing quantum field connect with one another, and provides the learning resources, tools, and systems access they need to provide quality educational experiences.

Visit the Educators Program