Virtual Workshop

Introduction to Quantum Computing

Unlocking the Future of Computing with Quantum Mechanics

Register NowExplore Details

Early access to e-LMS included

  • Mode: Virtual (Google Meet)
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 3 Weeks

About This Course

Quantum computing is a revolutionary field that leverages the principles of quantum mechanics to solve complex problems exponentially faster than classical computers. With advances in quantum hardware and algorithms, industries are exploring how quantum computing can optimize simulations, encryption, AI, and optimization problems. This program provides an in-depth introduction to quantum computing concepts, architectures, and applications.

Aim

The Introduction to Quantum Computing Program aims to provide a foundational understanding of quantum computing, its principles, and its potential applications. This program introduces participants to quantum mechanics concepts, qubits, quantum algorithms, and real-world implementations in industries such as cryptography, AI, and finance.

Program Objectives

  • To introduce participants to the principles of quantum mechanics in computing
  • To provide a foundational understanding of quantum algorithms and quantum gates
  • To explore real-world use cases of quantum computing across industries
  • To train participants in quantum programming with hands-on exercises
  • To discuss the challenges and future potential of quantum computing

Program Structure

Week 1: Fundamentals of Quantum Computing and Quantum Mechanics

Module 1: Introduction to Quantum Computing

  • What is Quantum Computing?
    • Differences between Classical and Quantum Computing
    • Why Quantum Computing Matters
    • Current State and Future Potential
  • Key Concepts of Quantum Mechanics for Computing
    • Superposition and Quantum Bits (Qubits)
    • Quantum Entanglement
    • Quantum Interference
  • Quantum vs. Classical Information Processing
    • Bits vs. Qubits
    • Linear Algebra Basics for Quantum Computing

Module 2: Quantum Gates and Circuits

  • Quantum Gates and Operators
    • Pauli Gates (X, Y, Z), Hadamard Gate (H), CNOT Gate
    • Multi-Qubit Operations and Reversible Computing
  • Quantum Circuits
    • Representing Algorithms as Quantum Circuits
    • Bloch Sphere Representation of Qubits
  • Hands-On Lab
    • Running a simple quantum circuit on IBM Quantum Experience

Week 2: Quantum Algorithms and Programming with Qiskit

Module 3: Introduction to Quantum Algorithms

  • Fundamental Quantum Algorithms
    • Deutsch-Josza Algorithm
    • Grover’s Search Algorithm
    • Shor’s Algorithm for Factorization
  • Quantum Speedup & Complexity Classes
    • BQP (Bounded-error Quantum Polynomial Time) vs. P and NP

Module 4: Quantum Programming with Qiskit

  • Introduction to Qiskit (IBM’s Quantum Computing Framework)
    • Installing and Setting Up Qiskit
    • Writing and Running Quantum Programs in Python
  • Quantum Simulators and Real Quantum Hardware
    • Simulating Quantum Circuits vs. Running on a Quantum Computer
  • Hands-On Lab
    • Implementing a basic quantum algorithm using Qiskit

Week 3: Real-World Applications and Future of Quantum Computing

Module 5: Applications of Quantum Computing in Different Industries

  • Cryptography and Cybersecurity
    • Post-Quantum Cryptography & Quantum Key Distribution (QKD)
  • Quantum Computing in AI & Machine Learning
    • Quantum-enhanced Machine Learning
  • Quantum Computing in Drug Discovery and Materials Science
    • Simulating Molecular Structures with Quantum Mechanics

Module 6: Challenges, Future Trends, and Career Pathways in Quantum Computing

  • Current Limitations of Quantum Computing
    • Quantum Decoherence and Error Correction
    • Scaling Challenges in Quantum Hardware
  • Major Players in Quantum Computing
    • Google Quantum AI, IBM Quantum, Microsoft Azure Quantum, D-Wave
  • Career Paths and Certifications in Quantum Computing
    • IBM Quantum Developer Certification, Qiskit Global Summer School
  • Hands-On Lab
    • Running a quantum program on a real quantum processor

Who Should Enrol?

This program is ideal for:

  • Students & Researchers in Physics, Computer Science, and Mathematics
  • IT Professionals & Software Engineers Exploring Emerging Tech
  • Data Scientists & AI/ML Engineers Interested in Quantum Computing
  • Cybersecurity & Cryptography Experts
  • Entrepreneurs & Business Leaders Exploring Quantum Innovation

Program Outcomes

By the end of this program, participants will:
✔ Understand the fundamentals of quantum computing and its key concepts
✔ Learn about quantum bits (qubits), quantum gates, and circuits
✔ Gain hands-on experience with quantum programming using Qiskit
✔ Explore real-world applications in cryptography, AI, and optimization
✔ Be prepared for career opportunities in quantum computing research and development

Fee Structure

Standard: ₹16,998 | $224

Discounted: ₹8,499 | $112

We accept 20+ global currencies. View list →

What You’ll Gain

  • Full access to e-LMS
  • Real-world dry lab projects
  • 1:1 project guidance
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate & e-Marksheet

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Publication Opportunity

Get published in a prestigious open-access journal.

Centre of Excellence

Become part of an elite research community.

Networking & Learning

Connect with global researchers and mentors.

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Need Help?

We’re here for you!


(+91) 120-4781-217

★★★★★
Build Intelligent AI Apps with Retrieval-Augmented Generation (RAG)

she was really good menor

منال القحطاني
★★★★★
Forecasting patient survival in cases of heart failure and determining the key risk factors using Machine Learning (ML), Predictive Modelling of Heart Failure Risk and Survival

The mentor was very clear and engaging, providing practical examples that made complex topics easier to understand.

Federico Cortese
★★★★★
AI for Healthcare Applications

NA

Aimun A. E. Ahmed
★★★★★
Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program

Teaching style and slides are very old technology, low resolution. There are many new, easy to use tools, why still use very old books to show protein structures and use the paint to draw neural networks etc.

Han Kurt

View All Feedbacks →

Still have any Query?

>