Guided Paths - Books
Do you prefer structure? The Hands-On Quantum Machine Learning book series provides step-by-step explanations
The Unprecedented Way To Learn Practical Quantum Machine Learning
Get started with quantum machine learning easily
Learn Quantum Machine Learning Your Way
Choose how you want to explore Quantum Machine Learning
Targeted Learning - The QML Curriculum
Do you have a specific question? Jump directly to the routine or algorithm you want to understand and fill in any gaps in your knowledge as needed
Exploratory Learning - Glossary
Are you curious about a concept? Start with any keyword in the glossary and see how ideas are connected in Quantum Machine Learning
Learning by Doing - Tutorial
Want to get your hands dirty? Learn quantum machine learning with Qiskit programming tutorials
Start Your Quantum Machine Learning Right Now
Skip the line and build a solid foundation in less than one hour
The Best Explanation Of Quantum Systems To Start With
Starting to learn about quantum systems is as dangerous as Odysseus' attempt to pass by the Sirens
•5 min read
What A Qubit Really Is
•5 min read
The Qubit Is Not Like A Classical Bit - Not Even Conceptually. But there's a much more intuitive analogy you can use.
Quantum Superposition Explained Conceptually
•5 min read
Don't waste your time with incomprehensible descriptions of the quantum superposition. If you only use quantum systems as a tool, you can safely skip the math.
The PyQML Approach On Quantum Machine Learning Mastery
Quantum Computing Is Taught The Wrong Way
Quantum computing doesn't have to be complicated. There is no rule that says quantum computing must be taught using physical jargon, incomprehensible equations, and long, dry paragraphs.
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.
The Sinister Villains Of Quantum Computing Education
PyQML is designed from the ground to protect you from these villains and their evil machinations.
•5 min read
You Don't Need To Be A Mathematician
When you start your quantum computing journey, you will inevitably be confronted with a lot of math. It is intimidating. PyQML is different!
•7 min read
You Don't Need To Be A Physicist
PyQML is here to offer a different look at quantum computing and quantum machine learning. A perspective that does not has its roots in the world of quantum physics. But a perspective that roots itself in the domain of practical problem solving.
•15 min read
Combining Quantum Computing and Machine Learning
For quantum machine learning to be meaningful, it must truly combine the strengths of quantum computing with those of machine learning. Any proposed approach must demonstrate representation power or computational efficiency that goes beyond what classical methods already achieve. Without this, quantum machine learning runs the risk of becoming a costly imitation of classical techniques. So, discover the various ways in which such a fusion can succeed and why they are important for the future of this field.
Quantum Probabilistic Modeling
At the heart of modern science and machine learning lies a seemingly simple process: sampling from a probability distribution. Whether you're running a Bayesian model, training a generative network, or simulating molecules, the quality of your samples determines the quality of your predictions.
•6 min read
Spectral Quantum Algorithms for Eigenvalue Estimation and Transformation
Eigenvalues determine everything from how a quantum system evolves to how a kernel method in quantum machine learning defines similarity between data points. Without a way to compute or transform them efficiently, the promise of quantum speedups in machine learning collapses into impractical theory.
•5 min read
Variational Quantum Machine Learning Algorithms
Variational quantum machine learning algorithms are a hybrid approach in which a parameterized quantum circuit is tuned by a classical optimizer to approximate solutions to complex problems.
•8 min read