
Muhammad Faryad
Tier-2 IBM Qiskit Advocate, IBM-Certified Qiskit 2.x developer
This is the complete recording along with slides and code files of the Quantum Portfolio Optimization Workshop.
⭐ Full QAOA in 2.5 hours — theoretical foundations and Qiskit codes
⭐ Four Jupyter notebooks — Yahoo data fetching, Qiskit Primitives, QAOA on simulator for 10 stocks, and on IBM hardware for six stocks
⭐ IBM Hardware — Custom optimization routine to run on hardware in a series of single jobs through open plan
⭐ All PDF slides — complete derivations written to be a standalone reference
⭐ Full recording — Full recording available in two hours
Quantum optimization is the most commercially scrutinized corner of quantum computing, yet most engineers who want to assess it face a gap: tutorials are either toy demos with no real data or papers that assume a physics degree. This workshop closes that gap in one sitting. In 2.5 hours, you will derive QAOA from first principles, build the complete pipeline on real market data (10 and 6 US stocks, actual return and covariance figures), run it in Qiskit 2.4, and benchmark it against the exact classical optimum.
⚛️ "Do I need a paid IBM account?" No. The custom optimizer has been specifically developed to run on the free IBM Open Plan in 2 minutes.
$30
USD
Recording, slides, and all Jupyter Notebooks.