Hands-On Quantum Machine Learning with Python

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.

Advanced

116 Lessons

47h

Certificate of Completion

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.

AI-POWERED

Explanations

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Explanations

This course includes

1 Assessment
258 Playgrounds
14 Quizzes

This course includes

1 Assessment
258 Playgrounds
14 Quizzes

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 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 interfere...Show More

What You'll Learn

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.

What You'll Learn

Learn the basics of machine learning and quantum computing.

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Course Content

1.

Getting Started

Learn how to use quantum computing principles to enhance machine learning methodologies.
4.

Probabilistic Binary Classifier

Apply your skills to create probabilistic models using Naïve Bayes and Gaussian Naïve Bayes.
7.

Quantum Naïve Bayes

6 Lessons

Master the Quantum Naïve Bayes classifier using pre-processing, quantum circuit, and post-processing techniques.
8.

Quantum Computing Is Different

7 Lessons

Break down the principles of quantum computing, its unique algorithms, and the pivotal quantum oracle.
9.

Quantum Bayesian Networks

7 Lessons

Unpack the core of building and implementing Quantum Bayesian Networks for complex probabilistic analyses.
12.

Working with the Qubit Phase

5 Lessons

Take a closer look at handling quantum states using Grover's Algorithm and amplitude amplification techniques.
14.

Sampling

5 Lessons

Test your understanding of various quantum sampling methods to estimate probabilities efficiently.
15.

Conclusion

1 Lesson

Get familiar with future trends in quantum machine learning and continue your learning journey.
16.

APPENDIX

3 Lessons

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

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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