Lyngfelt, Isak

Symmetry-informed transferability of optimal parameters in the Quantum Approximate Optimization Algorithm

2024 · arXiv (Cornell University)

One of the main limitations of variational quantum algorithms is the classical optimization of the highly dimensional non-convex variational parameter landscape. To simplify this optimization, we can reduce the search space using problem symmetries and …