About the Course

Quantum computing has taken giant strides over the past decade, with companies like IBM, Google, IonQ, and Quantinuum showcasing near-term quantum devices with hundreds of qubits. India has witnessed a spurt of related activity over the last few years, backed by the government initiatives such as the National Mission on Quantum Technologies and Applications (NMQTA) and the Quantum-enabled Science and Technologies (QuEST) program.

Today, there is widespread interest in quantum computing and information, both in academia and increasingly in industry. There is indeed a pressing need for a quantum-skilled workforce across academia and industry in India. Through this IITM CODE program, we hope to introduce the fundamentals of quantum computing to a wider group of professionals and equip them with the necessary tools required to become an active part of the emerging quantum ecosystem.

IIT Madras CODE offers two 12-week courses in QUANTUM COMPUTING, offered in sequence. IIT Madras has active quantum research groups spread across the physics, electrical engineering, computer science, chemistry, biotech, and management studies departments. We are also the first institute in the country to join the IBM Quantum Network as a partner and obtain preferential access to their current generation of quantum processors.

To know more visit: NPTEL Website

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Course 1

“Introduction to Quantum Computing and Qiskit”

• Introduces the idea of a quantum bit and its properties and proceeds all the way to teaching
  and demonstrating basic quantum algorithms like search and factoring.
• This course is tailored in such a way as to be accessible to anyone with a basic knowledge of
  linear algebra and python.
• All the algorithms discussed here will be accompanied by demonstrations on current
  quantum hardware using IBM Qiskit.

Course 2

“Advanced Quantum Computing and Applications”

• Ventures into some of the key quantum algorithms that are being used in today’s era of noisy
  intermediate-scale quantum (NISQ) devices.
• This includes the variational quantum eigensolver (VQE), quantum-inspired techniques for
  solving optimization problems and quantum machine learning.
• There is also a module on quantum error correction and quantum error mitigation which are
  crucial for the success of quantum algorithms in the NISQ era.
• Introduces the learner to emerging software tools such as qiskit runtime and transpiling
  quantum circuits.

 For Session dates, time, and Last date of registration: Visit NPTEL Website