Quantum Computing Fundamentals

• Equip participants with foundational knowledge and skills in quantum computing
• Strengthen understanding of quantum mechanics principles applied to computation
• Enable learners to explore quantum algorithms, programming, and hardware concepts
• Promote awareness of emerging applications and challenges in quantum technology

Course Content

Introduction to Quantum Computing

• Overview of quantum computing and its evolution
• Differences between classical and quantum computing
• Key concepts: qubits, superposition, entanglement, and quantum interference
• Potential applications across industries

Quantum Mechanics for Computing

• Basic principles of quantum physics relevant to computing
• Quantum states, measurement, and probabilities
• Quantum gates and circuits
• Representation of information in quantum systems

Quantum Algorithms and Programming

• Introduction to quantum algorithms (e.g., Grover’s, Shor’s algorithms)
• Quantum programming languages and frameworks (Qiskit, Cirq)
• Writing, simulating, and testing quantum programs
• Problem-solving with quantum approaches

Quantum Hardware and Platforms

• Types of quantum computers: superconducting, trapped ion, photonic, and topological
• Quantum processors and qubit architectures
• Noise, decoherence, and error correction
• Accessing cloud-based quantum computing platforms

Applications and Case Studies

• Cryptography, optimization, and machine learning applications
• Quantum simulation and material science
• Industry use cases in finance, healthcare, and logistics
• Lessons from research and pilot projects

DATE:
1ST BATCH:28th Apr–1st May,2026
2ND BATCH:18th–21st Aug, 2026
3RDBATCH:15th–18th Dec ,2026