Quantum Computing

Master Quantum Computing from Python foundations to real-world quantum algorithms, error correction, and hybrid quantum-classical models — with hands-on projects and industry-ready skills.

Learning Mode

Online

Real-Time Projects

Hands-On Quantum Applications

Expert Mentorship

Guided by Quantum Computing Experts

Career Support

Placement Assistance

About the Course

The Quantum Computing program at SkillDzire covers Python foundations tailored for quantum development, core quantum concepts (qubits, gates, entanglement), cutting-edge qubit hardware, error correction strategies, quantum algorithms and simulations, quantum cryptography, cloud quantum platforms, and industry roadmaps — all reinforced with hands-on projects such as Qiskit visualizers, QML experiments, and quantum cryptography simulators.

Python for quantum development (NumPy, Qiskit-ready examples)

Hands-on quantum circuit simulation, QML & cryptography projects

Exposure to cloud quantum platforms (IBM, AWS Braket, Azure)

Industry-relevant projects and placement guidance

Curriculum

Python Foundations for Quantum Computing

  • Python Basics: syntax, variables, data types, input/output operations
  • Conditional Statements & Loops
  • Functions & Data Structures: functions, lambda expressions, lists, tuples, dictionaries, sets, list comprehensions
  • File Handling & Modules: reading/writing files (CSV, TXT), importing modules (math, random), package management with pip & virtual environments
  • Object-Oriented Programming (OOP) Essentials: classes, objects, constructors, methods, examples aligned with Qiskit circuits
  • Python for Scientific Computing: NumPy (arrays, matrices, basic operations), Matplotlib (visualization), Jupyter Notebook & Google Colab setup

Foundations of Quantum Computing

  • Qubits & Quantum States
  • Quantum Gates & Circuits
  • Principles of Superposition, Entanglement & Measurement
  • NISQ Era & Hybrid Quantum-Classical Systems (AWS Braket, CUDA-Q demos)

Cutting-Edge Qubit Technologies

  • Superconducting Qubits (Google’s Willow chip)
  • Topological Qubits & Topoconductors (Majorana, Microsoft)
  • Neutral Atom Qubits
  • Photonic Qubits (Xanadu’s Aurora)

Error Correction & Logical Qubits

  • Error Mitigation Techniques
  • Logical Qubits & Virtualization (HyperQ, Azure, Quantinuum)
  • Hardware Roadmaps: IBM Condor, IBM Starling, Quantinuum goals

Quantum Algorithms & Simulations

  • Variational Quantum Circuits (VQCs) & Hybrid Models
  • Optimization & Portfolio Modeling
  • Quantum Applications in Chemistry & Pharma
  • Quantum in Supply Chains & Energy
  • Quantum for AI Modeling

Quantum Cryptography & Post-Quantum Security

  • Post-Quantum Cryptographic Methods (QKD, lattice-based, NIST standards)
  • Quantum-Origin Key Generation (Quantinuum, hardware randomness)

Quantum Computing in the Cloud

  • Quantum-as-a-Service Platforms (AWS Braket, Azure Quantum, IBM Q Experience)
  • Qubit Virtualization & Multi-Tenancy (HyperQ)

Industry Timelines & Future Directions

  • Scaling to Fault-Tolerant Quantum Systems
  • Emerging Quantum Hubs: Bengaluru Quantum City, IBM in Amaravati, Toronto, Zurich
  • Market Momentum: investments, commercialization, McKinsey $100B forecast

Hands-On Real-Time Exposure Tasks

  • Intelligent Student Grade Analyzer Using Python & Data Visualization — A Python tool that analyzes student marks, identifies weak areas, and generates performance visuals using data charts for quick academic insights.
  • Interactive Quantum Circuit Visualizer Using Qiskit — A Qiskit-based interface to design and simulate quantum circuits, showing gate actions, qubit states, and circuit outcomes in real time.
  • Quantum-Based Random Coin Flipper & Probability Simulator — Uses true quantum randomness to flip coins, analyze probability distribution, and compare results with classical randomness.
  • Bell State Generator & Entanglement Visualizer — Creates Bell states, visualizes entanglement, and displays correlated measurement results to explain quantum entanglement.
  • Quantum Teleportation Protocol Simulator — Simulator of quantum teleportation with Bloch sphere visualizations.
  • Hybrid Quantum-Classical Optimizer for Real-World Problems — Combines quantum circuits with classical algorithms for routing, scheduling, and portfolio selection.
  • Quantum Key Distribution (QKD) BB84 Protocol Simulator — Simulates BB84 secure key exchange, eavesdropper detection, and error analysis.
  • Quantum-Enhanced QR Code Generator for Secure Data Encoding — Integrates quantum randomness and quantum keys to produce tamper-proof QR codes.
  • Quantum Machine Learning Medical Image Classifier (QML-MedX) — Hybrid quantum–classical model analyzing medical images for improved disease classification.
  • QCNN-Based Galaxy Detection & Classification System — Quantum Convolutional Neural Network for astrophysics image analysis.

Let’s Learn and Grow

Download Full Curriculum (PDF)

Projects You Will Work On

Quantum-Enhanced QR Code Generator

A secure QR generator that integrates quantum randomness and quantum keys to produce tamper-proof, high-security QR codes.

Quantum Machine Learning Medical Image Classifier (QML-MedX)

A hybrid quantum–classical model that analyzes medical images using quantum circuits to improve disease classification accuracy.

Hybrid Quantum-Classical Optimizer

Optimization system combining quantum circuits with classical algorithms to solve routing, scheduling, and portfolio selection problems.

Student Testimonials

"Quantum Computing course helped me understand real quantum algorithms."

- Ravi Kumar

"Hands-on QML projects were incredibly practical and insightful."

- Meera Singh

"SkillDzire’s mentoring made complex quantum concepts easy to grasp."

- Arjun Das