HomeCoursesHands-On Quantum Machine Learning with Python

AI-powered learning

Save

Hands-On Quantum Machine Learning with Python

Delve into Quantum Machine Learning with Python, learning basics of quantum computing, creating parameterized circuits, and solving classification tasks using hybrid algorithms and quantum phenomena.

4.6

116 Lessons

47h

Join 2.9 million developers at

LEARNING OBJECTIVES

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.

Learning Roadmap

116 Lessons14 Quizzes1 Assessment

Getting Started

Learn how to use quantum computing principles to enhance machine learning methodologies.

Introduction

Quantum Machine Learning—Beyond The Hype

Quantum Computing

The Case for Quantum Machine Learning

Quiz: Introduction to Quantum Machine Learning

Binary Classification

Solve challenges with binary classification through data preprocessing, evaluation metrics, and classifier visualization.

Getting and Looking at the Dataset

Data Preprocessing: Missing Values

Data Preprocessing: Identifiers

Data Preprocessing: Handling Text and Categorical Attributes

Data Preprocessing: 4- Feature Scaling

Data Preprocessing: Training and Testing

Baseline

Classifier Evaluation

Classifier Measures

Unmask the Hypocrite Classifier

Visualization of Hypocrite Classifiers

Performance Evaluation of Hypocrite Classifier

Quiz: Binary Classification

Qubit and Quantum States

10 Lessons

Work your way through the fundamentals and practical applications of qubits and quantum states.

Probabilistic Binary Classifier

4 Lessons

Apply your skills to create probabilistic models using Naïve Bayes and Gaussian Naïve Bayes.

Working with Qubits

9 Lessons

Deepen your knowledge of qubits, superposition, quantum gates, and probability manipulation.

Working with Multiple Qubits

14 Lessons

See how quantum entanglement, CNOT gates, and probability manipulation transform quantum computing dynamics.

Create a Classical-Quantum KNN Classifier Using Qiskit

Project

Premium

Quantum Naïve Bayes

6 Lessons

Master the Quantum Naïve Bayes classifier using pre-processing, quantum circuit, and post-processing techniques.

Quantum Computing Is Different

7 Lessons

Break down the principles of quantum computing, its unique algorithms, and the pivotal quantum oracle.

Quantum Bayesian Networks

7 Lessons

Unpack the core of building and implementing Quantum Bayesian Networks for complex probabilistic analyses.

10.

Bayesian Inference

10 Lessons

Master Bayesian inference with quantum networks to estimate probabilities and predict survival.

11.

The World Is Not a Disk

11 Lessons

Apply your skills to grasp qubit phases, Bloch sphere states, and quantum gate effects.

12.

Working with the Qubit Phase

5 Lessons

Take a closer look at handling quantum states using Grover's Algorithm and amplitude amplification techniques.

13.

Search for Relatives

6 Lessons

Tackle quantum methods to optimize relational data for passenger survival predictions.

14.

Sampling

5 Lessons

Test your understanding of various quantum sampling methods to estimate probabilities efficiently.

15.

Conclusion

Get familiar with future trends in quantum machine learning and continue your learning journey.

What's Next?

16.

APPENDIX

3 Lessons

Walk through configuring environments for quantum machine learning with Python on different platforms.

Quantum Machine Learning in Python

Assessment

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

ABOUT THIS COURSE

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 quantum computing. You'll learn how to create parameterized quantum circuits and variational hybrid quantum-classical algorithms that solve classification tasks. Additionally, you’ll learn about quantum superposition, entanglement, and interference and how you can use it to solve problems intractable for classical computers.

ABOUT THE AUTHOR

Frank Zickert

You're interested in quantum computing and machine learning. But you don't know how to get started? Let me help.

Learn more about Frank

Trusted by 2.9 million developers working at companies

These are high-quality courses. Trust me the price is worth it for the content quality. Educative came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks

Anthony Walker

@_webarchitect_

Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!

Evan Dunbar

ML Engineer

You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it.

Software Developer

Carlos Matias La Borde

I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site

Souvik Kundu

Front-end Developer

Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content.

Vinay Krishnaiah

Software Developer