4
Optimization & Regularization
Mathematical Optimization
Understanding optimization landscapes, cost functions, gradients, and the role of regularization in finding optimal solutions.
Lessons
4.1
Lesson 4.1 — Parameterized States: Ansätze as Roads Through Hilbert Space
4.2
Lesson 4.2 — Cost Functions: Turning a Quantum State Into a Number to Minimize
4.3
Lesson 4.3 — Gradients: Exact Derivatives From Measurements Alone
4.4
Lesson 4.4 — Regularization: Paying for Solutions You Can Trust
4.5
Lesson 4.5 — Noise & Landscapes: Optimizing on Ground That Moves
4.6