Floquetifying stabiliser codes with distance-preserving rewrites
Benjamin Rodatz, Boldizs\'ar Po\'or, Aleks Kissinger

TL;DR
This paper introduces a method to convert stabiliser codes into Floquet codes using distance-preserving rewrites, enabling fault-tolerant implementation with only single- and two-qubit operations while maintaining code properties.
Contribution
It develops a novel Floquetification procedure based on ZX calculus that preserves code distance and logical qubits, applicable to arbitrary stabiliser codes.
Findings
Preserves code distance and logical qubits during transformation.
Requires linear overhead in physical qubits relative to measurement weight.
Enables fault-tolerant implementation with only single- and two-qubit operations.
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…
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Taxonomy
TopicsAdvanced Data Storage Technologies · Algorithms and Data Compression · DNA and Biological Computing
