SemiAcademy micro-credential
Quantum Computing Advanced
The third of three quantum computing micro-credentials. Noise and density matrices, a repetition code with mid-circuit measurement and correction, error suppression and mitigation, one application track (a quantum-kernel classifier or a simulated spin chain), and a comparison of today's qubit platforms, including silicon spin qubits, ending with your own capstone experiment on a noisy simulator. Labs run in your browser; a run on a real IBM quantum computer is optional.
At a glance
- Time needed
- About 25 hours, at your own pace
- Level
- Advanced
- Who it is for
- Learners who have finished Quantum Computing Intermediate, and STEM students and professionals who already build and run quantum circuits in Python
- Prerequisites
- Quantum Computing Intermediate, or similar background (Qiskit circuits, expectation values, shot noise and a simple noise model).
- Format and what you need
- Online and self-paced; a web browser. Every lab runs in the browser; two optional notebooks run in Colab, which needs a free Google account. A free IBM Quantum account is needed only for the optional run on real hardware.
- Badge
- Quantum Computing Advanced digital badge
What you will be able to do
- Describe noise with density matrices and noise channels, and read T1 and T2 from device data
- Build a repetition code with mid-circuit measurement and correction, and explain what it protects against and how larger codes extend it
- Tell error suppression, mitigation and correction apart, apply suppression and mitigation to an expectation value, and judge whether each improves it
- Apply one application method, quantum machine learning against a fair classical baseline or Trotterized simulation with controlled error, and report its limits
- Compare qubit technologies, including silicon spin qubits made with semiconductor processes, and name roles in the quantum workforce
How the course is organized
- Start Here — Module 0: Orientation and Level 2 Review
- Module 1 — Noise and Open Quantum Systems
- Module 2 — Quantum Error Correction
- Module 3 — Error Suppression and Mitigation
- Module 4 — Application Track
- Module 5 — Quantum Hardware and Careers
- Module 6 — Capstone
- Course Completion
How to earn the badge
Every item in this list is required on its own. A high total cannot make up for a failed lab check or quiz: for example, 6 of 10 on one lab check means that module is not complete, even with 20 of 20 on its quiz.
- Lab checks, Modules 1, 2, 3 and 5: at least 8 of 10 on every one (10 points each, 40 in all)
- Module quizzes, Modules 1, 2, 3 and 5: at least 16 of 20 on every one (20 points each, 80 in all)
- Track quiz, Module 4, for the track you chose: at least 24 of 30
- Capstone quiz, Module 6, for your experiment: at least 16 of 20
- Final quiz, Course Completion: at least 16 of 20
- Course total: 90% or better, at least 171 of 190 points
- Capstone summary, start of Course Completion: submitted (not graded)
- Post-course survey, Course Completion: submitted (not graded)
Only your better track quiz and your best capstone quiz count. In Grades, the two track quizzes have their own group, "Module 4 Track Quiz (better of two counts)", which drops the lower score, and the four capstone quizzes have theirs, "Module 6 Capstone Quiz (best of four counts)", which drops the three lowest. So the course total is out of 190 points. Your capstone runs on a noisy simulator. A run on a real IBM quantum computer is optional, and the badge does not depend on it.