QUANTUM COMPUTING

Job oriented Training + Industrial Guidance + Placement Assistance

Gain hands-on expertise in QUANTUM COMPUTING , mastering industry tools and methodologies for a successful career

Why this course?

Quantum Computing – The Next Tech Revolution

Massive Job Creation Ahead – Are You Ready?

Over 25,000 skilled professionals will be needed in:
Quantum Hardware, Quantum Software, and Quantum Cryptography.

Quantum Startups & India’s National Mission
Quantum Innovation Hubs
₹8,000 Cr National Quantum Mission (NQM)

Prerequisites to Learn Quantum Computing

Mathematics Foundations

Linear Algebra: Vectors, matrices, tensor products, eigenvalues, eigenvectors
Probability & Statistics: Basic probability theory, random variables, distributions
Complex Numbers & Functions: Euler’s formula, polar form, basic operations

Physics Foundations

Quantum Mechanics Basics
Wave-particle duality
Superposition, entanglement, measurement postulates

Computer Science Foundations

Classical algorithms and computational complexity (P, NP, BQP basics)
Basic programming in Python
Familiarity with linear algebra libraries (NumPy)
Introduction to quantum libraries (Qiskit or PennyLane)

Course Module

Module 1 - Quantum States and Qubits

Postulates of Quantum Mechanics (brief, applied focus)

Qubits and Bloch Sphere Representation

Single Qubit Gates (Pauli X, Y, Z; Hadamard, Phase, T) MultiQubit Systems and Tensor Product

CNOT and Controlled Gates

Measurement and Quantum State Collapse

Density Matrices and Mixed States (basic introduction)

Module 2 - Quantum Algorithms

Deutsch and Deutsch-Jozsa Algorithm

Bernstein-Vazirani Algorithm

Grover’s Search Algorithm

Quantum Fourier Transform

Shor’s Factoring Algorithm

Variational Quantum Algorithms (VQE, QAOA introduction for NISQ)

Hybrid Quantum-Classical Algorithms (overview)

Module 3 - Quantum Protocols

Quantum Teleportation

Superdense Coding

Quantum Key Distribution (BB84 protocol)

Entanglement Swapping and Bell’s Inequality tests

Quantum Error Correction Basics - Bit flip, phase flip codes

Shor’s 9-qubit code (conceptual understanding)

Module 4 -Quantum Hardware – Superconducting Qubits

Physical Implementation Overview

Josephson Junctions and Transmons

Circuit QED Basics

Gate Implementation in Superconducting Circuits

Noise Sources: Decoherence, Relaxation, Dephasing

Cryogenic Requirements and Readout Mechanisms

Module 5 - Quantum Hardware – Photonic Qubit

Introduction to Photonic Quantum Computing

Single Photon Sources and Detectors

Beam Splitters, Phase Shifters, and Optical Circuits

Encoding Qubits in Photonic Degrees of Freedom (Polarization, Time-bin, Path)

Quantum Gates and Circuits in Photonic Systems

Current Platforms (Xanadu, PsiQuantum) and Research Trends

Module 6 - : Quantum Algorithms for Applications

Quantum Machine Learning

Quantum Classifiers (VQC)

Quantum Support Vector Machines

Quantum Chemistry

Finding Ground State Energy using VQE

Optimization Problems

QAOA for Max-Cut Problem

Application-Specific Projects Based on Domain Interest

Projects & Protocols

Project 1 - Foundation Quantum Projects & NISQ Devices

Hands-On Programming

Programming Quantum Circuits (IBM Qiskit hands-on)
Running Algorithms on IBM Quantum Experience

Mini Projects

Implement Grover’s Algorithm for 2-Qubit Search
Quantum Teleportation Simulation and Hardware Execution

NISQ Devices Overview

Limitations and Capabilities
Error Mitigation Techniques

Project 2 - Advanced Quantum Projects

Objectives

Design and Simulate an End-to-End Quantum Communication Protocol
Implement Error Correction Codes and Test on Noisy Simulators
Compare Superconducting vs Photonic Qubit Implementations for Specific Algorithms
Build a Small Quantum Machine Learning Project (e.g., Molecule Classification)
Research Project Replicating or Extending a Recent Quantum Computing Paper

Tools

Qiskit (IBM)
PennyLane (Xanadu)