I am documenting my journey through the IBM Quantum Learning course on Diagonalization. Below are the lab reports and engineering notes from this series.
| Date | Title | Description |
|---|---|---|
| Nov 26, 2025 | Challenge Accepted: Mastering Quantum Diagonalization (It’s Not Just for Molecules) | Yesterday, I attended a Qiskit Advocate seminar on Sample-Based Quantum Diagonalization (SQD). The session was a fascinating deep dive into how we can extract eigenvalues… |
| Nov 30, 2025 | The Variational Principle: A Linear Algebra Perspective | Exploring the linear algebra foundations of VQE and how finding the lowest eigenvalue translates to a quantum optimization problem. |
| Dec 2, 2025 | Encoding Math into Metal: Representing Vectors and Matrices on a QPU | How to translate classical linear algebra structures into quantum states and operators, and efficiently calculate expectation values using the Qiskit Estimator. |
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