Hands-On Quantum Machine Learning with Python
Advanced
116 Lessons
47h
Certificate of Completion
Takeaway Skills
Learn the basics of machine learning and quantum computing.
Learn how to create parameterized quantum circuits and variational hybrid quantum-classical algorithms that solve classification tasks.
Explore quantum superposition, entanglement, and interference, and how you can use these concepts to solve problems that have been intractable for classical computers.
Extend your knowledge and learn how to solve new problems.
Of course, you will do some math. Of course, you will cover a little physics.
Course Overview
Hands-On Quantum Machine Learning With Python is your comprehensive guide to get started with Quantum Machine Learning - the use of quantum computing for the computation of machine learning algorithms. In this course, you'll learn the basics of machine learning and ...Show More
Course Content
Getting Started
5 Lessons
Binary Classification
13 Lessons
Qubit and Quantum States
10 Lessons
Probabilistic Binary Classifier
4 Lessons
Working with Qubits
9 Lessons
Working with Multiple Qubits
14 Lessons
Quantum Naïve Bayes
6 Lessons
Quantum Computing Is Different
7 Lessons
Quantum Bayesian Networks
7 Lessons
Bayesian Inference
10 Lessons
The World Is Not a Disk
11 Lessons
Working with the Qubit Phase
5 Lessons
Search for Relatives
6 Lessons
Sampling
5 Lessons
Conclusion
1 Lesson
APPENDIX
3 Lessons
Quantum Machine Learning in Python
Assessment
How You'll Learn
You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.
Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.
Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.
Built-in assessments let you test your skills. Completion certificates let you show them off.