Fault tolerance of stabilizer channels
Michael E. Beverland, Shilin Huang, Vadym Kliuchnikov
TL;DR
This work develops a rigorous, general formalism to analyze fault tolerance of stabilizer channels under broad noise models by viewing any stabilizer channel as a sequence of code-deformation rounds and introducing the fault-distance $d(\mathcal F)$ and generalized hook faults. It then provides a comprehensive analytic framework (code-deformation perspective, channel checks, and logical-action representations) and practical algorithms to compute fault distance and identify problematic hook faults, including graph-based methods for graph-like channel checks and extensions beyond graphs. The authors demonstrate the approach with surface-code examples (e.g., XX measurement and Hadamard channel), revealing both spatial/temporal variations and the need for carefully designed, stage-wise implementations to preserve full distance. The framework is broadly applicable to stabilizer codes, including surface codes, Floquet codes, and LDPC codes, and lays groundwork for future extensions to non-Clifford operations, adaptive protocols, and scalable decoders with potential impact on overhead and reliability in fault-tolerant quantum computing.
Abstract
Stabilizer channels are stabilizer circuits that implement logical operations while mapping from an input stabilizer code to an output stabilizer code. They are widely used to implement fault tolerant error correction and logical operations in stabilizer codes such as surface codes and LDPC codes, and more broadly in subsystem, Floquet and space-time codes. We introduce a rigorous and general formalism to analyze the fault tolerance properties of any stabilizer channel under a broad class of noise models. This includes rigorous but easy-to-work-with definitions and algorithms for the fault distance and hook faults for stabilizer channels. The generalized notion of hook faults which we introduce, defined with respect to an arbitrary subset of a circuit's faults rather than a fixed phenomenological noise model, can be leveraged for fault-tolerant circuit design. Additionally, we establish necessary conditions such that channel composition preserves the fault distance. We apply our framework to design and analyze fault tolerant stabilizer channels for surface codes, revealing novel aspects of fault tolerant circuits.
