Quantum Machine Learning Fundamentals Course
Our Chief Science Officer and lead scientist, Dr. Laia Domingo has curated a quantum machine learning fundamentals introductory course for anyone to begin their QML journey! Get started below.
'The best QML course I found yet'
'Awesome course'
'Little to no Linear Algebra to complete'
'Demystifying the complexities of QML'
'Accessible and engaging'
'Excellent'
'Comprehensive and engaging curriculum'
'Concepts of great complexity explained in a clear and easy-to-understand manner'
'Accessible and understandable for everyone'
'The best QML course I found yet' 'Awesome course' 'Little to no Linear Algebra to complete' 'Demystifying the complexities of QML' 'Accessible and engaging' 'Excellent' 'Comprehensive and engaging curriculum' 'Concepts of great complexity explained in a clear and easy-to-understand manner' 'Accessible and understandable for everyone'
QUICK-START GUIDE
Sign up for FREE to view this video.
The course includes visualizations and lessons unique to our upcoming Quantum Hub platform
You’ll earn a Certificate of Completion once you successfully complete the Chapter 4 Assessment
If you have any questions, please post them in our Discord Server in #qml-fundamentals
Curriculum
-
Chapter 1: Introduction (20+ mins)
-
Chapter 2: Qubits (25+ mins)
-
Chapter 3: Quantum Circuits (50+ mins)
-
Introduction
-
Lesson 1: Quantum computing paradigms
-
Lesson 2: Circuit visualizations
-
Lesson 3: X gate
-
Lesson 4: Z gate
-
Lesson 5: The Pauli-Y gate
-
Lesson 6: The Hadamard gate
-
Lesson 7: Arbitrary Rotations
-
Chapter 8: Controlled Operations and the CNOT Gate
-
Chapter 9: Complexity of quantum circuits
-
Chapter 10: Your first quantum algorithm
-
Assessment 3
-
-
Chapter 4: Quantum Machine Learning (60+ mins)
-
Introduction
-
Lesson 1: Future advantages of QML
-
Lesson 2: Current advantages of QML
-
Lesson 3: Introduction to Quantum Neural Networks
-
Lesson 4: Data Encoding
-
Lesson 5: Variational circuits
-
Lesson 6: Optimization process
-
Lesson 7: Entangling capacity and expressibility
-
Lesson 8: Building a quantum neural network
-
Assessment 4
-
MEET YOUR INSTRUCTOR
Dr. Laia Domingo
Laia is an experienced scientist and educator with a Masters in Data Science and a PhD in Quantum Machine Learning from ICMAT. Alongside teaching Quantum Machine Learning at the Polytechnic University of Catalonia, Dr. Domingo’s work at Ingenii is focused on accelerating the adoption of quantum machine learning solutions for life and environmental science industries.
Join our Quantum Learning Community
Ingenii's Quantum Community is bringing together powerful quantum scientists and developers to collaborate on near-term, high impact solutions.