collaborators

5 papers

quant-ph2026

The Dynamical Lie Algebra of QAOA-MaxCut on the Complete Graph

Jonathan Allcock, Pei Yuan, Shengyu Zhang

We give an analytical expression for the dynamical Lie algebra corresponding to the QAOA-MaxCut problem on complete graphs, and show that the variance of the associated loss functi…

quant-ph2026

On the dynamical Lie algebras of quantum approximate optimization algorithms

Jonathan Allcock, Miklos Santha, Pei Yuan +1

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…

quant-ph2025

QAOA-MaxCut has barren plateaus for almost all graphs

Rui Mao, Pei Yuan, Jonathan Allcock +1

The QAOA has been the subject of intense study over recent years, yet the corresponding Dynamical Lie Algebra (DLA)--a key indicator of the expressivity and trainability of VQAs--r…

quant-ph2025

Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more

Jonathan Allcock, Joao F. Doriguello, Gábor Ivanyos +2

Bell sampling is a simple yet powerful tool based on measuring two copies of a quantum state in the Bell basis, and has found applications in a plethora of problems related to stab…

quant-ph2025

On generating direct powers of dynamical Lie algebras

Jonathan Allcock, Miklos Santha, Pei Yuan +1

The expressibility and trainability of parameterized quantum circuits has been shown to be intimately related to their associated dynamical Lie algebras (DLAs). From a quantum algo…