Quantum Computing with Qiskit and Advanced Algorithms

This Packt course on Coursera takes learners from quantum computing fundamentals into the algorithms that define the field, all implemented in IBM’s Qiskit. It reviews the building blocks - quantum gates, entanglement, and circuit design - before turning to the algorithms themselves. It is available on Coursera with a subscription or Coursera Plus.

The algorithm coverage is the core of the course: quantum teleportation, the Deutsch and Bernstein-Vazirani algorithms, Grover’s search, and Shor’s factoring algorithm. Crucially, the course emphasises running these algorithms on both simulators and real quantum hardware through IBM Quantum, so you see how textbook circuits behave when subjected to real device noise. This practical grounding is what separates it from a purely theoretical treatment.

Who is this for?

Learners who already grasp the basics of qubits and gates and want to understand how the canonical quantum algorithms actually work and run. It is a good next step after a first introductory course or the beginner Qiskit course.

Prerequisites

Basic linear algebra and classical computing knowledge are required, and Python programming experience is strongly recommended since Qiskit is Python-based. Some prior exposure to qubits and quantum gates will make the algorithm material much easier to follow.