Foundations of AI & Quantum Computing?
Introduction to Artificial Intelligence
Overview of Quantum Computing
Classical vs Quantum Systems
Key Concepts: Qubits, Superposition, Entanglement
Introduction to Artificial Intelligence
Introduction to Quantum Computing
Qubits & Superposition
Entanglement & Quantum Advantage
AI + Quantum: The Convergence
Lesson 1 Quiz
2. Quantum Mechanics for Computing?
Quantum States and Measurement
Quantum Gates (Hadamard, Pauli, CNOT)
Quantum Circuits
Bloch Sphere Representation
3. Linear Algebra for Quantum AI?
Vectors and Matrices
Eigenvalues & Eigenvectors
Tensor Products
Complex Numbers in Quantum Systems
4. Machine Learning Fundamentals?
Supervised vs Unsupervised Learning
Neural Networks Basics
Optimization Techniques
Model Evaluation Metrics
5. Quantum Algorithms?
Deutsch-Jozsa Algorithm
Grover’s Search Algorithm
Shor’s Algorithm (Conceptual)
Quantum Speedup Explained
6. Quantum Machine Learning (QML)?
Introduction to QML
Variational Quantum Circuits
Quantum Kernels
Hybrid Quantum-Classical Models
7. Quantum Deep Learning?
Quantum Neural Networks (QNNs)
Parameterized Quantum Circuits
Training Quantum Models
Challenges in Quantum DL
8. Quantum Programming?
Introduction to Qiskit / Cirq
Building Quantum Circuits
Running Simulations
Real Quantum Hardware Access
9. Real-World Applications?
Drug Discovery & Healthcare
Financial Modeling
Optimization Problems
Cybersecurity & Cryptography
10. Ethics & Future of AI + Quantum?
Ethical Implications
Security Risks
Impact on Society
Future Trends & Innovations
11. Hands-on Labs & Projects?
Build a Quantum Circuit
Implement a Quantum ML Model
Case Study Analysis
Mini Capstone Project
