Quantum Computing

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Quantum Computing Training Institute in Hyderabad

Course Overview

Quantum Computing is revolutionizing the field of computation by leveraging the principles of quantum mechanics to solve complex problems beyond the capabilities of classical computers. This course provides a comprehensive introduction to the fundamental concepts and practical applications of quantum computing.

Key Skills:

On your Mohansh Technologies site, present these as “Skills You Will Gain” in your Quantum Computing

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45-DAYS ONLINE CLASSES

WEEK 1

— Quantum & Python Basics

Day 1: Introduction to Quantum Computing & Qiskit installation

Day 2: Classical vs Quantum computing concepts

Day 3: Qubits and superposition (Qiskit circuits)

Day 4: Quantum gates (X, Y, Z, Hadamard) – Python coding

Day 5: Measurement and probabilities (Qiskit lab)

Day 6: Bloch Sphere visualization with Qiskit

Day 7: Mini-project – “Quantum Coin Toss”

WEEK 2

— Multi-Qubit Systems & Entanglement

Day 8: Multi-qubit circuits in Qiskit

Day 9: Entanglement and CNOT gate implementation

Day 10: Bell states – coding and simulation

Day 11: Quantum interference – experiments with Qiskit

Day 12: Quantum teleportation concept

Day 13: Lab – Implement quantum teleportation

Day 14: Mini-project – “Entangled Pair Communication”

WEEK 3

— Quantum Algorithms – Intro

Day 15: Deutsch’s Algorithm (single-bit function check)

Day 16: Lab – Deutsch Algorithm in Qiskit

Day 17: Grover’s Search Algorithm (theory)

Day 18: Lab – Grover’s Algorithm implementation

Day 19: Simon’s Algorithm (secret string)

Day 20: Lab – Simon’s Algorithm coding

Day 21: Mini-project – “Quantum Random Number Generator”

WEEK 4

— QFT & Shor’s Algorithm

Day 22: Quantum Fourier Transform (QFT) basics

Day 23: Lab – Implement QFT in Qiskit

Day 24: Shor’s Algorithm (factorization theory)

Day 25: Lab – Shor’s Algorithm simulation

Day 26: RSA & quantum cryptography impact

Day 27: Lab – Quantum phase estimation with Qiskit

Day 28: Mini-project – “Breaking Small Numbers with Shor’s”

WEEK 5

— Quantum Machine Learning

Day 29: Introduction to Quantum Machine Learning (QML)

Day 30: Encoding classical data into quantum states

Day 31: Variational Quantum Circuits (VQC) in Qiskit

Day 32: Variational Quantum Eigensolver (VQE)

Day 33: Quantum Support Vector Machines (QSVM)

Day 34: Lab – Train a quantum classifier with Qiskit ML

Day 35: Mini-project – “Quantum ML for Iris Dataset”

WEEK 6

— Advanced Applications

Day 36: Quantum Approximate Optimization Algorithm (QAOA)

Day 37: Lab – QAOA for optimization problems

Day 38: Quantum cryptography basics (BB84 protocol)

Day 39: Lab – Implement BB84 in Qiskit

Day 40: Hybrid quantum-classical algorithms

Day 41: Lab – Hybrid workflow in Qiskit

Day 42: Mini-project – “Quantum Optimization Problem”

WEEK 7

— Industry Use Cases & Capstone

Day 43: Quantum use cases in finance & healthcare

Day 44: Cloud quantum platforms

IBM Quantum Experience
AWS Braket

Day 45: Capstone Project

Quantum Portfolio Optimization (Finance)
Quantum Drug Discovery Simulation (Healthcare)
Quantum ML Pipeline (AI)
Post-Quantum Cryptography Challenge (Security)

Flat No: 302, 3rd Floor, Namdev Block, Prime Hospital Line, Ameerpet, Hyderabad-38

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