So far the course has worked with circuits on paper. This module is where you start writing them as code. Qiskit is an open-source Python toolkit for building quantum circuits, simulating them on your own computer, and running them on real quantum hardware in the cloud.
It starts by building and running a first program: a Bell-state circuit, run both on a simulator and on a real IBM quantum computer. Next it reviews the math behind the circuit that Qiskit runs for you: state vectors, gate matrices, and measurement. It closes with a first real experiment that introduces the Qiskit patterns workflow (map, optimize, execute, post-process) and the Sampler and Estimator primitives.
Watch the lessons in order, then continue on to Quantum Algorithms.
Qiskit's hands-on lesson on writing a Bell-state circuit in code, running it on a simulator and on a real IBM quantum computer, and reading the results.
How the circuit you just ran works under the hood: quantum states as vectors, gates as matrices, how measurement gives probabilities, and what the Bell-state circuit does step by step.
A first real use of a quantum computer: the four-step Qiskit patterns workflow, and the difference between the Sampler and Estimator primitives.