Module 1: Introduction to Quantum Computing
- What is Quantum Computing?
- Classical vs. Quantum Bits (Qubits)
- Quantum Phenomena: Superposition and Entanglement
- Potential Applications of Quantum Computing
Module 2: Quantum Mechanics Fundamentals
- Basics of Quantum Mechanics
- Wave-Particle Duality
- Quantum States and Measurement
- The Schrödinger Equation
Module 3: Quantum Gates and Circuits
- Single-Qubit Gates: Pauli-X, Pauli-Y, Pauli-Z, Hadamard
- Multi-Qubit Gates: CNOT, Toffoli
- Quantum Circuit Diagrams
- Universal Quantum Gates
Module 4: Quantum Algorithms
- Deutsch-Jozsa Algorithm
- Grover's Algorithm for Searching
- Shor's Algorithm for Factoring
- Quantum Fourier Transform
Module 5: Quantum Hardware and Platforms
- Types of Qubits: Superconducting, Trapped Ion, Photonic
- Challenges in Building Quantum Computers
- Overview of Quantum Computing Platforms (e.g., IBM Q, Google Quantum AI)
- Quantum Simulators
Module 6: Quantum Error Correction
- Noise and Decoherence in Quantum Systems
- Quantum Error Correction Codes
- Fault-Tolerant Quantum Computing
- Challenges in Quantum Error Correction
Module 7: Quantum Machine Learning
- Introduction to Quantum Machine Learning (QML)
- Quantum Algorithms for Machine Learning Tasks
- Variational Quantum Eigensolvers (VQE)
- Quantum Neural Networks
Module 8: Quantum Cryptography and Security
- Quantum Key Distribution (QKD)
- Post-Quantum Cryptography (PQC)
- Impact of Quantum Computing on Classical Cryptography
- Security Challenges in the Quantum Era
Module 9: Current Research and Future Trends
- Latest Advances in Quantum Computing Research
- Quantum Supremacy and Quantum Advantage
- The Future of Quantum Computing
- Ethical and Societal Implications
Module 10: Capstone Project and Hands-on Practice
- Quantum Computing Capstone Project
- Hands-on Practice with Quantum Simulators and Platforms
- Implementing Quantum Algorithms
- Final Review and Discussion