From qubits and superposition to Grover's algorithm and quantum machine learning — a complete guide to computation beyond classical limits.
Unit I builds the mathematical and conceptual foundation every other unit depends on. Nine lectures across six core topics.
Why classical bits hit a wall on certain problems, and how the quantum model of computation breaks through it with superposition and parallelism.
The state |ψ⟩ = α|0⟩ + β|1⟩, what the Born rule means, and how every qubit state maps to a point on a 3D sphere surface.
How observation collapses superposition, why this is irreversible, what Schrödinger's cat really illustrates, and why algorithms must measure last.
The universal shorthand of quantum mechanics: kets, bras, inner products, orthonormal bases, and how matrix operations translate into gate operations.
Bell states, non-local correlations, the 2022 Nobel Prize, and why entanglement is a computational resource rather than just a curiosity.
Superconducting, trapped-ion, photonic and topological qubit technologies, plus hands-on circuit programming with IBM's open-source Qiskit SDK.
A complete study guide and an interactive quiz — everything you need to prepare for Unit I.
A fully interactive HTML reference covering every topic in Unit I with explanations, diagrams, comparison tables, Dirac notation tables, a Bloch sphere diagram, and a Qiskit code example.
Test your understanding with 5 carefully crafted questions. Every wrong answer shows a detailed explanation of the concept so you learn from mistakes, not just avoid them.
All study guides and quizzes in one place — organised by unit. Jump straight to what you need.
| Topic | Lectures | Resources |
|---|---|---|
| Unit I Fundamentals of Quantum Computing Qubits, Bloch sphere, superposition, entanglement, Dirac notation, hardware | 🕐 9 lectures | |
| Unit II Quantum Gates & Circuits Pauli gates, Hadamard, CNOT, Toffoli, reversible computation, error basics | 🕐 9 lectures |
Coming soon
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| Unit III Quantum Search Algorithms Grover's algorithm, amplitude amplification, oracle construction, Qiskit demos | 🕐 9 lectures |
Coming soon
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| Unit IV Quantum Image Processing FRQI & NEQR models, edge detection, Quantum Fourier Transform, pattern recognition | 🕐 9 lectures |
Coming soon
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| Unit V Application Algorithms VQE, QAOA, Quantum ML classifiers, drug discovery, finance, NISQ applications | 🕐 9 lectures |
Coming soon
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Introduction to Quantum Computing prepares you to design quantum algorithms, implement them in Qiskit, and understand their real-world applications in cryptography, optimization, and machine learning.
Each unit builds on the previous. Unit I fundamentals appear in every subsequent topic.
Read the study guide first, then test yourself with the quiz. Both open instantly in your browser.