Cayley graphs and complexity geometry
Henry W. Lin
TL;DR
The paper investigates quantum complexity geometry by restricting to a large finite subgroup of the unitary group and equipping it with a Cayley graph metric, enabling rigorous analysis of complexity growth. It shows that the geometry exhibits negative curvature features via δ-hyperbolicity and computes the average complexity in a random-circuit model using the permutation subgroup, revealing linear growth up to a critical time t ~ n/2 and a subsequent slowdown. For the general Cayley-graph setting, it discusses expander properties and cutoff phenomena, illustrating how random walks approach equilibrium with sharp transitions, and suggests these features may have holographic interpretations. Overall, the work provides a bridge between geometric group theory and quantum complexity, offering exact large-$K$ results and guiding principles for understanding complexity geometry beyond continuous Lie-group models.
Abstract
The basic idea of quantum complexity geometry is to endow the space of unitary matrices with a metric, engineered to make complex operators far from the origin, and simple operators near. By restricting our attention to a finite subgroup of the unitary group, we observe that this idea can be made rigorous: the complexity geometry becomes what is known as a Cayley graph. This connection allows us to translate results from the geometrical group theory literature into statements about complexity. For example, the notion of $δ$-hyperbolicity makes precise the idea that complexity geometry is negatively curved. We report an exact (in the large N limit) computation of the average complexity as a function of time in a random circuit model.
