Learn Quantum Computing & Qiskit | IIT Madras & IBM Course Guide
Course Details
| Exam Registration | 11855 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 4 weeks |
| Categories | Computer Science and Engineering, Physics |
| Credit Points | 1 |
| Level | Undergraduate/Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 13 Feb 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 16 Feb 2026 |
| Exam Date | 28 Mar 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Introduction to Quantum Computing: Quantum Algorithms and Qiskit
Quantum computing is rapidly emerging as one of the most transformative technologies of our time. This new paradigm of computation leverages the principles of quantum mechanics to solve complex problems that are intractable for classical computers. A new 4-week course, led by distinguished professors from IIT Madras and IBM Research, offers a structured introduction to this fascinating field, combining theoretical foundations with practical, hands-on experience using industry-standard tools.
Meet Your Expert Instructors
This course brings together unparalleled expertise from academia and industry.
- Prof. Prabha Mandayam (IIT Madras): An Associate Professor at IIT Madras with a PhD in Quantum Computing from Caltech. Her research focuses on quantum error correction and quantum cryptography, providing deep insights into making quantum computations reliable.
- Prof. Anupama Ray (IBM Research): An Advisory Research Scientist at IBM, Quantum Ambassador, and Qiskit Advocate with a PhD in Deep Learning from IIT Delhi. She bridges the gap between quantum computing and AI, with expertise in Quantum Machine Learning and Natural Language Processing.
- Prof. Sheshashayee Raghunathan (IBM Systems): A Senior Engineer and IBM Quantum Distinguished Ambassador with a PhD in Quantum Computing from USC. He brings a unique perspective from the hardware and electronic design automation side, crucial for understanding the full stack of quantum technology.
Course Overview and Structure
Designed for undergraduate and postgraduate students in Computer Science, Engineering, and Physics, this 4-week intensive program is structured to build your knowledge from the ground up.
Detailed Course Layout
| Week | Topics Covered |
|---|---|
| Week 1 | Introduction & IBM Quantum Perspective, Quantum Computing Applications, Quantum Basics (Superposition, Entanglement) |
| Week 2 | Hands-on programming with IBM Quantum Composer and Qiskit in the Quantum Lab |
| Week 3 | Quantum Algorithms-I: Oracles and Deutsch-Jozsa Algorithm. Quantum Algorithms-II: Grover's Search Algorithm with practical sessions. |
| Week 4 | Quantum Error Correction, NISQ-era Algorithms (like VQE/QAOA), and their industrial applications. |
Who Should Take This Course?
The course is open to students, researchers, and faculty from diverse backgrounds including Computer Science, Physics, Mathematics, and Chemistry. The only prerequisite is a basic understanding of linear algebra, which can be refreshed through online resources like Khan Academy.
Hands-On Learning with Industry Tools
A standout feature of this course is its practical approach. You will gain direct experience with:
- Qiskit: An open-source quantum computing software development framework from IBM, using Python.
- IBM Quantum Composer: A graphical tool for building quantum circuits and running experiments on real quantum hardware and simulators.
This hands-on methodology ensures you not only understand quantum theory but also learn how to implement it.
Industry Relevance and Support
Quantum computing skills are in high demand. This course is recognized and valued by leading global companies at the forefront of this technology, including IBM, Microsoft, Google, Intel, Honeywell, TCS, and Infosys. IBM's pioneering role in providing public access to quantum computers makes this training particularly relevant for aspiring quantum programmers and researchers.
Recommended Learning Resources
To supplement the course material, the instructors recommend:
- Textbook: Quantum Computation and Quantum Information by Nielsen and Chuang.
- Qiskit Textbook: A free, comprehensive online resource for learning quantum computing with Qiskit.
- YouTube Quantum Learning Series: A curated playlist for visual and conceptual learning.
This course represents a unique opportunity to learn quantum computing from world-class instructors and gain practical skills with the tools shaping the future of technology. Whether you aim for research, industry application, or simply to understand this revolutionary field, this program provides the perfect foundation.
Enroll Now →