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Quantum machine learning is the integration of quantum computing methods and algorithms within machine learning programs.
We have listed below some of the best resources to learn Quantum Machine Learning.
In fact, it takes a math-based introduction to quantum computing while you learn quantum cryptography to communicate securely.
Additionally, you get to experience the IBM quantum experience.
In addition, train a quantum support vector machine to make predictions based on real-world data.
With 17 sections and 284 lectures, this course is panned out over 12 hours.
Thisquantum machine learning courseby OpenHPI is free.
Its taught by Dr. Christa Zoufal, Julien Gacon, and Dr. David Sutter.
Week 2 will see more of Quantum Generative Adversarial Networks and Quantum Boltzmann machines, with practical implementation techniques.
In fact,Qiskits lecture seriesis available on YouTube.
This course is divided into 20 lectures and 5 lab-based applications.
Additionally, how does it differ from the first edition?
It goes beyond supervised learning methods and discusses the future of Quantum Machine learning methods and algorithms.
Inside, youll find:
Quantum ML With Python
Looking to master Quantum Machine Learning foundations?
Santanu Pattanayaks book on Quantum Machine With Python is perfect for engineers and QML enthusiasts.
Additionally, heres what the IBM quantum platform lets you do:
Theres more.
you’ve got the option to sign up for the Quantum Researchers program and Educators program.
Plus, IBMs docs directory is also quite powerful.
In addition to trying out Quantum lab tutorials to build and test algorithms as researchers.
Being entirely open-source, it lets you achieve state-of-the-art results using abstractions made for todays quantum computers.
Cirq is perfect for both beginners and advanced users and has offerings suiting each.
As a beginner, you could learn how to build and simulate quantum circuits to perform transformations.
Most importantly, you might also learn how to implement Quantum Optimization Algorithms on real hardware.
But thats not all!
Amazon Braket
Designed to accelerate quantum computing research,Amazon Braketis a fully managed service.
Here are the most important features.
What does this platform let you do?
How is Quantum Machine Learning Different from Regular Machine Learning?
QML differs from regular machine learning in 4 ways.
