Quantum· 2026Q1
Floquetifying stabiliser codes with distance-preserving rewrites
- 3citations
- Q1SCImago
- 2026year
Short summary
A new Floquetification procedure synthesizes a novel Floquet code from a stabiliser code using only single- and two-qubit operations, provably preserving the original code's distance and number of logical qubits.
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Key points
- A Floquetification procedure transforms stabiliser codes into Floquet codes using only single- and two-qubit operations.
- The procedure preserves the distance and number of logical qubits of the original stabiliser code.
- Overhead in physical qubits is linear with the weight of the largest measurement in the original code.
- Distance-preserving rewrites, based on ZX calculus, are introduced to maintain code distance during transformations.
AI-generated from the title and abstract; the full text is not read.
Abstract
Stabiliser codes with large weight measurements can be challenging to implement fault-tolerantly. To overcome this, we propose a Floquetification procedure which, given a stabiliser code, synthesises a novel Floquet code that only uses single- and two-qubit operations. Moreover, this procedure preserves the distance and number of logicals of the original code. The new Floquet code requires additional physical qubits. This overhead is linear in the weight of the largest measurement of the original code. Our method is based on the ZX calculus, a graphical language for representing and rewriting quantum circuits. However, a problem arises with the use of ZX in the context of rewriting error-correcting codes: ZX rewrites generally do not preserve code distance. Tackling this issue, we define the notion of distance-preserving rewrite that enables the transformation of error-correcting codes without changing their distance. These distance-preserving rewrites are used to decompose arbitrary weight stabiliser measurements into quantum circuits with single- and two-qubit operations. As we only use distance-preserving rewrites, we are guaranteed that a single error in the resulting circuit creates at most a single error on the data qubits. These decompositions enable us to generalise the Floquetification procedure of Townsend-Teague et al \cite{townsend-teagueFloquetifyingColourCode2023} to arbitrary stabiliser codes, provably preserving the distance and number of logicals of the original code.
The authors' abstract, as published at the source. Quantum, 2026 · DOI ↗
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Field: Computer Networks and Communications
Computer Networks and CommunicationsComputer Science