Complexity is Simple
William Cottrell, Miguel Montero
TL;DR
We investigate how Lloyd's bound on computation translates to holographic complexity, focusing on the distinction between orthogonalizing versus simple gates. The analysis shows large AdS black holes, modeled as serial circuits, must employ simple gates, which invalidates the Lloyd bound for holographic complexity, while near the Hawking-Page transition small black holes can satisfy an orthogonalization condition, offering a potential link to the Weak Gravity Conjecture. By comparing coherence time $\tau_{\text{coh}}$, computation time $\tau_{\text{comp}}$, and Margolus-Levitin time $\tau_{\text{ML}}$, the work identifies regimes where holographic gates are simple ($\tau_{\text{comp}}\ll\tau_{\text{coh}}$) and where parallelization could be required for a bound to hold, but stresses that no universal holographic Lloyd bound is guaranteed. Overall, the paper clarifies the limitations of applying classical computation bounds to holographic complexity and outlines future avenues to refine bounds and their physical implications, including potential connections to the Weak Gravity Conjecture.
Abstract
In this note we investigate the role of Lloyd's computational bound in holographic complexity. Our goal is to translate the assumptions behind Lloyd's proof into the bulk language. In particular, we discuss the distinction between orthogonalizing and `simple' gates and argue that these notions are useful for diagnosing holographic complexity. We show that large black holes constructed from series circuits necessarily employ simple gates, and thus do not satisfy Lloyd's assumptions. We also estimate the degree of parallel processing required in this case for elementary gates to orthogonalize. Finally, we show that for small black holes at fixed chemical potential, the orthogonalization condition is satisfied near the phase transition, supporting a possible argument for the Weak Gravity Conjecture first advocated in Brown et al.
