These are the exercise files used for Quantum Machine Learning with Tensorflow Quantum course.

The course outline can be found in

https://www.tertiarycourses.com.sg/quantum-machine-learning-tensorflow-quantum.html

https://www.tertiarycourses.com.my/quantum-machine-learning-tensorflow-quantum-malaysia.html

Topic 1: Introduction to Quantum Computing

• What is Quantum Computer
• History of Quantum Computing
• What is Qubit
• Superposition of Single Qubit
• Entanglement of Multiple Qubits
• Measurement and Copenhagen Interpretation
• Applications of Quantum Computer
• Quantum Decoherence
• Commercial Quantum Computers
• Quantum Supremacy
• Quantum Computing Simulators

Topic 2: Quantum Gates & Circuits

• Qubit and Bloch Sphere
• Pauli Gates
• Hadamard Gate and Superposition
• Rotation Gates
• Controlled-NOT Gate and Entanglement
• Toffoli Gate
• Phase Kickback

Topic 3: Tensorflow Quantum

• Overview of Tensorflow Quantum
• Basic Cirq Operations

Topic 4: Quantum Machine Learning

• Overview of Tensorflow Machine Learning
• Build a Hybrid Quantum Classical Neural Network Model