Quantum Computing

1. Module 1

   Module 1: Quantum Basics

   The four pillars of quantum computing that every beginner needs to understand.

2. Module 2

   Module 2: Quantum Gates

   The gates that manipulate qubits — the instruction set of a quantum computer.

3. Module 3

   Module 3: Quantum Circuits

   Composing gates into circuits — order, decomposition, and depth.

4. Module 4

   Module 4: Quantum Algorithms

   What you actually do with a quantum computer: Shor, Grover, and QML.

5. Module 5

   Module 5: Suppressing Quantum Errors by Scaling a Surface Code Logical Qubit

   Google's surface-code milestone: scaling a logical qubit below the error threshold.

6. Module 6

   Module 6: Logical Quantum Processor Based on Reconfigurable Atom Arrays

   Harvard/MIT's reconfigurable neutral-atom architecture for logical qubits.

7. Module 7

   Module 7: Quantum Network Entanglement Distribution Over 100 km

   Delivering entanglement across 100 km — the backbone of a quantum internet.

8. Module 8

   Module 8: Quantum Kernel Methods for Classically Hard Classification

   Using quantum feature maps for classification problems classical machines can't crack.

9. Module 9

   Module 9: Quantum Advantage in Learning from Experiments

   Proving a learning advantage from quantum experiments rather than raw compute.

We keep expanding this course — new modules are added regularly, and 1-year access covers everything published during that time.