Advanced Certificate in Quantum Computing: Algorithms and AI/ML
Batch 02

Step Into the Future with Quantum Intelligence

Programme Starts

26th August 2026

Programme Fees

₹1,96,000 + GST

Duration

6.5 Months

Class Schedule

Sat & Sun | 8:00 AM to 10:30 AM

Learning Hours

310+ (Live + Recorded + Project)

Fill in Your Details

Eligibilty

Bachelor s degree in technology, Engineering, or Sciences with a strong Mathematics background

Programme Overview

Step into the future with quantum intelligence

Quantum computing isn’t just the next big thing—it’s already transforming industries like cryptography, finance, healthcare, and AI. This 6.5-month Advanced Certificate Programme by IIT Roorkee blends quantum theory, algorithms, and AI/ML to give you hands-on expertise with tools like Qiskit, Pennylane, and IBM’s Quantum Systems.

Future-proof your career by mastering the skills that power tomorrow’s innovations.

Why Choose This Programme?

Prestigious IIT Roorkee Certification

Gain recognition from one of India s top IITs under the Centre for Continuing Education.

certificate

Industry-Relevant Curriculum

Covers quantum computing, secure communication, AI, and machine learning applications

Curriculum

Hands-On Learning

Work with leading tools like Qiskit, Pennylane, and D-Wave systems

Hands-On Learning

Real-World Quantum ML Applications

Apply QML to finance, healthcare, optimization, and drug discovery.

Quantum ML

Capstone Project & Assignments

Solve practical problems under IIT Roorkee faculty mentorship

Capstone Project

Campus Immersion

Optional 1 day visit to IIT Roorkee for networking and learning.

Campus Immersion

Tools & Platforms You’ll Master

Qiskit
Pennylane
DWave
IBM Quantum
python
Qiskit
Pennylane
DWave
IBM Quantum
python
metalab

Programme Curriculum

Introduction to Quantum Computing and Applications
Quantum Algorithms and Software
Quantum Communications and Networks
Quantum Machine Learning
Quantum Machine Learning Applications

Introduction to Quantum Computing and Applications

  • Quantum Computing Applications
  • Introduction to Quantum Mechanics
  • Quantum postulates
  • Quantum Bits and Qudits
  • No Cloning Theorem
  • Quantum Gates
  • Quantum Measurements
  • Bell’s inequality

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Learning outcomes:

This module will introduce students to the applications of quantum computing in solving real-world problems. Students will be equipped with key topics, such as the difference between classical and quantum computing, qubits, quantum gates, the no-cloning theorem, quantum measurements, and quantum computing applications.

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Quantum Algorithms and Software

  • Quantum Algorithms Applications
  • Introduction to Qiskit
  • Shor’s Algorithm
  • Grover’s Algorithm
  • Deutsch-Jozsa Algorithm Implementation
  • Bernstein-Vajirani Algorithm
  • Simon’s Algorithm

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Learning outcomes:

By the end of this module, students will be familiar with quantum algorithms and the software Qiskit. They will be proficient in using Qiskit and have hands-on experience in implementing key quantum algorithms, including Shor, Deutsch-Jozsa, Bernstein-Vazirani, and Simon’s algorithms. This knowledge will enable students to apply quantum algorithms to solve problems efficiently. Programme offered through the Continuing Education Centre, IIT Roorkee

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Quantum Communications and Networks

  • Applications for Quantum Communications and Networks
  • Foundations of Optical Communication Systems
  • Quantum Key Distribution (QKD) protocols
  • QKD System Integration and Practical Considerations
  • Quantum Teleportation
  • Quantum Repeaters
  • Quantum Cryptography

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Learning outcomes:

By the end of this module, students will have proficient understand of quantum communication protocols, including quantum key distribution protocols, and how can one apply them in transferring data from one entity to another securely. They will also learn about quantum communication and networking enabler applications such as teleportation, repeaters and cryptography.

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Quantum Machine Learning

  • Basics: Complex number, Basics of Linear Algebra, and Computational Complexity
  • Fundamentals of Machine Learning for Quantum Systems
  • Quantum Data Encoding and Feature Maps
  • Quantum Support Vector Machines (QSVMs) using PennyLane and Qiskit
  • Quantum Neural Networks (QNNs) using PennyLane
  • Hybrid Quantum-Classical Architectures

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Learning outcomes:

This module will make students develop a rigorous understanding of quantuminformation processing and quantum-enhanced machine learning models suchas QSVMs and QNNs. They will gain proficiency in implementing variationalquantum circuits and applying gradient-based optimization using the parametershift rule. They will learn to construct hybrid quantum-classical models andperform supervised learning tasks using open-source quantum frameworks suchas Qiskit and PennyLane. They will develop an understanding of quantum dataencoding and how to evaluate QML models under realistic noise settings.Programme offered through the Continuing Education Centre, IIT Roorkee

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Quantum Machine Learning Applications

  • Implementing QSVM for Binary Classification on a Wine dataset
  • Hybrid QNN for Multi-class Classification using Image dataset
  • Variational Quantum Eigensolver for Molecular Ground State Estimation
  • Solving Max-Cut Problem with Quantum Approximate Optimization Algorithm
  • Quantum Generative Adversarial Networks (QGANs)

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Learning outcomes:

Students will be able to apply QML models to real-world problems in classification, regression, and optimization. They can build and train their own quantum GANs for discrete data distributions and assess convergence using statistical divergences. They will be proficient in solving simulation problems using VQE and QAOA for combinatorial optimization tasks. They will translate theoretical knowledge into deployable pipelines for applications in domain

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Top Job Roles You May Explore After This Programme

Quantum Developer

Quantum Software Developer

Research Scientist

Quantum Machine Learning Engineer

Quantum Algorithm

Quantum Algorithm Researcher

Quantum Researcher

Quantum Applications Scientist

Quantum Scientist

Quantum Data Scientist

Quantum Cryptographer

Quantum Security Analyst Cryptographer

Quantum Computing

Research Associate Quantum Computing

Quantum AI

Quantum AI Product Developer

Quantum Engineer

Quantum Systems Analyst

Quantum Consultant

Quantum Solutions Consultant

Certification


  • Candidates who score at least 50% marks overall and have a minimum attendance of 50% will receive a Certificate of Successful Completion’ from CEC, IIT Roorkee.
  • Candidates who score less than 50% marks overall and have a minimum attendance of 50% will receive a Certificate of Participation’ from CEC, IIT Roorkee.
  • The organizing department of this program is the Continuing Education Center, IIT Roorkee.

Programme Director

singh

Dr. Sandeep Kumar Singh

Assistant Professor
Department of Electronics and Communication Engineering at the Indian Institute of Technology, Roorkee, India.

Dr. Sandeep Kumar Singh is an Assistant Professor in the Department of Electronics and Communication Engineering at the Indian Institute of Technology, Roorkee, India. His research interests include quantum networking, data center networking, terahertz communication, resource allocation in optical networks, with a particular focus on stochastic analysis and learning methods, and the application of artificial intelligence in communication networks.

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Dr. Sandeep Kumar Singh is an Assistant Professor in the Department of Electronics and Communication Engineering at the Indian Institute of Technology, Roorkee, India. His research interests include quantum networking, data center networking, terahertz communication, resource allocation in optical networks, with a particular focus on stochastic analysis and learning methods, and the application of artificial intelligence in communication networks.

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Meet The Faculty

poonia

Dr. Vishvendra Singh Poonia

Assistant Professor
Department of Electronics and Communication Engineering at IIT Roorkee

Dr. Poonia is an Assistant Professor in the Department of Electronics and Communication Engineering at IIT Roorkee. His research interests include quantum computing, quantum biology and biometrics, quantum photocells, quantum random number generators, and nanoelectronics. He completed his Ph.D. from IIT Bombay and pursued postdoctoral research at the Weizmann Institute of Science, Israel.

jaiswal

Dr. Anshul Jaiswal

Assistant Professor
Department of Electronics and Communication Engineering at IIT Roorkee

Dr. Anshul Jaiswal is an Assistant Professor in the Department of Electronics and Communication Engineering at IIT Roorkee. He is also affiliated with the Centre for Photonics and Quantum Communication Technology. Dr. Jaiswal holds a Ph.D. in Electrical Engineering from IIT Delhi. His research interests encompass optical wireless communication, MIMO systems, and channel modeling.