The Unique PyQML Approach
PyQML's unique teaching style builds on clear descriptions, easy-to-understand examples, a thrilling storyline, and a touch of (sometimes dark) humor.
Quantum Computing is Taught The Wrong Way. This makes it unnecessarily hard to getting started with quantum machine learning.
Quantum Computing Is Taught The Wrong Way
This is why PyQML does not only focus on high quality information. But PyQML excels on how to convey the information to make every step on your journey of quantum computing mastery a worthwile experience.
PyQML unique teaching style builds on
- vivid descriptions,
- comprehensible examples,
- a tension-filled story-line, and
- a grain of (sometimes dark) humor every once in a while.
PyQML's Ultimate Fight Against The Villains Of Quantum Machine Learning Education
The Underworld of Quantum Machine Learning Education is crowded with sinister villains. They emerge inconspicuously. But before you know it, they turn your quantum machine learning journey into a nightmare.

The Sinister Villains Of Quantum Computing Education
PyQML is designed from the ground to protect you from these villains and their evil machinations.
PyQML teaches quantum computing and quantum machine learning in a no nonsense way. There is no room for unsolicited claims, hype, and folklore.
PyQML thoroughly illustrates all the physical concepts you need to know. This prepares you to understand scientific research.

You Don't Need To Be A Physicist Or Mathematician To Learn Quantum Computing
PyQML explains all the important concepts of quantum computing and quantum machine learning in plain English-not through mathematical equations. If equations are necessary, we comprehensively explain them.

You Don't Need To Be A Mathematician To Use A Quantum Computer
PyQML uses Qiskit 2.x. With the major version upgrade, Qiskit changed its API and broke all the code examples on the Internet.
PyQML caters to your needs
There's no one size fits all when it comes to education. While one prefers some theory first, the other likes to get her hands right on some code.
And there's not even one size fits one all the time. What you want to read depends on the very situation you're in. It makes a difference whether you want to bridge a five-minutes break with your phone or you've got an hour of room for concentrated study in a desktop setting.
Sometimes, you just want a relaxed read. Sometimes, you feel equipped for some background theory. And sometimes, you want to work with code.
Whatever you feel like, PyQML has your back.
A network of connected concepts and tutorials covers all aspects of quantum computing and quantum machine learning, such as algorithms. It allows you create your own learning path. This includes all the theory, quantum algorithms, equations, and code examples.
Reports on real-world quantum projects provide details that matter when implementing a quantum machine learning solution in a real-world setting, including things that are not quantum-specific.
You prefer a the classical way? A well-crafted learning path paved for you? Then the Hands-On Quantum Machine Learning With Python books are for you.
You won't get this much freedom to shape your learning experience to suit you anywhere else.
And don't be afraid if you're a beginner or still have gaps in your knowledge. PyQML lets you expand on any concept, any time, anywhere in the text. So, the next deeper explanation is just a single click away.