How to Create, Optimize, and Implement Quantum ML Algorithms
Offered By: ChemicalQDevice via YouTube
Course Description
Overview
Explore the fundamentals of quantum machine learning algorithms in this comprehensive 1 hour 13 minute conference talk presented by ChemicalQDevice CEO Kevin Kawchak. Learn to create, optimize, and implement quantum ML algorithms through practical tutorials and hands-on examples. Dive into Qiskit circuit basics, covering superposition, Bell states, and GHZ states. Discover advanced circuit techniques, including custom gates, composite gates, and parameterized quantum circuits. Gain insights into pulse-level programming with Qiskit Pulse, exploring calibration, linking, and transpilation. Understand the optimization process for quantum algorithms, focusing on transpiler passes and pass managers with various optimization levels. Explore hyperparameter tuning techniques for quantum models, including optimizer selection, loss functions, and activation functions. Access valuable resources and walk-throughs provided by CQD Quantum Developer to enhance your quantum ML skills and apply them to real-world problems.
Syllabus
How to Create, Optimize, and Implement Quantum ML Algorithms
Taught by
ChemicalQDevice
Related Courses
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and OptimizationDeepLearning.AI via Coursera Machine Learning in the Enterprise
Google Cloud via Coursera Art and Science of Machine Learning 日本語版
Google Cloud via Coursera Art and Science of Machine Learning auf Deutsch
Google Cloud via Coursera Art and Science of Machine Learning en Español
Google Cloud via Coursera