Quaitronix

Courses

Level 1: Class V – VIII (Foundation: Logic, Science & Curiosity)

  • Understanding atoms, energy, and light – the world of the very small.
  • Difference between classical and quantum world (simple experiments).
  • Introduction to binary logic: bits, 0 and 1.
  • Patterns in nature – waves, particles, symmetry.
  • Thinking like a scientist: observation, hypothesis, and experiment.
  • Hands-on: simple logic puzzles, optical experiments, and computer logic games.
  • Story-based introduction to Quantum World (Schrödinger’s Cat, Double-Slit experiment
  • simplified).

Level 2: Class IX – XII (Pre-University Quantum Foundations)

  • Recap: Atoms, electrons, and quantum energy levels.
  • Light and matter: wave-particle duality.
  • Basic mathematics for quantum: probability, vectors, and matrices.
  • Qubits vs Bits: What makes quantum different.
  • Quantum superposition and entanglement – with visual models.
  • Real-world applications: quantum teleportation, quantum encryption.
  • Introduction to Qiskit environment and simple simulator experiments.
  • Hands-on: using IBM Quantum Lab to build simple quantum circuits.

Level 3: Undergraduate Level (B.Tech / B.Sc / BCA)

  • Quantum mechanics basics: linear algebra, state vectors, and operators.
  • Quantum gates and circuits (X, H, CNOT, T, etc.).
  • Multi-qubit systems and entanglement measurement.
  • Quantum algorithms: Deutsch-Jozsa, Grover’s search, Shor’s factoring.
  • Qiskit programming, transpilers, and simulators.
  • Noise, decoherence, and error correction basics.
  • Introduction to Quantum Machine Learning (QML).
  • Projects: build and execute quantum algorithms on IBM Quantum hardware.

Level 4: Postgraduate & Research (Advanced Quantum Computing)

  • Quantum Information Theory and Entropy.
  • Quantum Communication and Cryptography (QKD, BB84).
  • Quantum Simulation and optimization problems.
  • Quantum AI integration with classical ML models.
  • Advanced Qiskit modules and Quantum Runtime usage.
  • Hybrid Quantum-Classical algorithms (VQE, QAOA).
  • Research Projects: problem-solving using IBM Quantum Experience.
  • Exposure to emerging areas – Quantum Internet, Quantum Sensors, and Quantum Cloud services
By progressing through these stages, students will gain conceptual clarity, computational thinking, and hands-on experience in quantum logic and coding. This holistic approach ensures that learners from school to university understand not just how quantum computers work, but why they matter in shaping the future of AI, communication, and computation.

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