Quantum 10, 2119 (2026). https://doi.org/10.22331/q-2026-05-29-2119 Dynamical Lie algebras (DLAs) have emerged as a valuable tool in the study of parameterized quantum circuits, helping to characterize both their expressiveness and trainability. In particular, the absence or presence of barren plateaus (BPs) – flat regions in parameter space that prevent the efficient training of variational quantum algorithms – has recently been shown to be intimately related to quantities derived from the asso

On the dynamical Lie algebras of quantum approximate optimization algorithms
Jonathan Allcock, Miklos Santha, Pei Yuan, and Shengyu Zhang
