Quantum Computing is the future of computation, offering exponential speedups for problems beyond the reach of classical machines. This course is structured as a step-by-step roadmap, beginning with mathematics and physics basics, and leading into quantum circuits, algorithms, SDKs, and applications.

You’ll learn to:

• Understand the mathematical and physical foundations of quantum mechanics.

• Work with qubits, superposition, entanglement, and quantum gates.

• Code quantum circuits with Qiskit, Cirq, and Q#.

• Implement famous algorithms like Grover’s & Shor’s.

• Explore quantum hardware platforms (IBM Quantum, Amazon Braket, Azure Quantum).

• Apply quantum computing to machine learning, optimization, chemistry, and cryptography.

By the end, you’ll be prepared to contribute to this cutting-edge research field and build skills for the future of computing.

Resources

• IBM Qiskit Documentation

• Google Cirq Tutorials

• Microsoft Q# Resources

• PennyLane Quantum ML Framework

Instructor Approach

This course blends theory + hands-on quantum programming. Every phase has coding labs and simulations:

• Visualizing qubits and gates on the Bloch sphere.

• Running Grover’s and Shor’s algorithms on IBM Quantum Experience.

• Building simple quantum ML models with PennyLane.

• Applying quantum methods to finance and chemistry case studies.

By the end, you will:

• Have a solid foundation in quantum theory & coding.

• Be comfortable with quantum SDKs & cloud platforms.

• Build a portfolio of research-based projects.

This roadmap positions you for academic research, quantum software roles, and cutting-edge industry applications.