Phases of Floquet code under local decoherence
Yuchen Tang, Yimu Bao
TL;DR
This work analyzes the Hastings-Haah Floquet code under local decoherence with perfect measurements, establishing a finite threshold below which the code retains an $e$-$m$ automorphism and thus encodes quantum information in a robust Floquet phase. The authors derive a 3D statistical-mechanics model for maximum-likelihood decoding and identify a class of simple two-qubit errors that decouple into 2D RBIMs on a honeycomb lattice, yielding the threshold $p_c=0.0119$; they also introduce information-theoretic diagnostics based on quantum relative entropy $D_{em}^{(n)}$ and coherent information $I_c^{(n)}$, which undergo a concurrent phase transition and distinguish the Floquet code from the toric code. A stabilizer-expansion framework maps these diagnostics to $(n-1)$-flavor Ising models, enabling an Ising-mapping description of the decohered dynamics and the automorphism. Together, these results establish the Floquet code below threshold as a distinct dynamical phase with robust automorphism, and they pave the way for understanding intrinsic thresholds in dynamical quantum memories via statistical-mechanics mappings.
Abstract
Floquet code is a dynamical quantum memory with a periodically evolving logical space. As a defining feature, the code exhibits an anyon automorphism after each period, giving rise to a non-trivial evolution of each logical state. In this paper, we study the Floquet code under local decoherence and perfect measurements and demonstrate that below the decoherence threshold, the code is in a robust phase characterized by the anyon automorphism. We first derive the 3D statistical mechanics model for the maximum likelihood decoder of the 2D Floquet code under local Pauli decoherence. We identify a class of two-qubit Pauli channels under which the 3D statistical mechanics model becomes decoupled 2D models and obtain the threshold for such decoherence channels. We then propose a diagnostic of the anyon automorphism in the presence of local decoherence. We analytically show that this diagnostic distinguishes the Floquet code from the toric code under repeated syndrome measurements and undergoes a phase transition at the threshold.
