# Quantum convolutional data-syndrome codes

## TL;DR

This paper evaluates the performance of a quantum convolutional code in fault-tolerant quantum computing across various syndrome measurement and decoding strategies under different error models.

## Contribution

It introduces an analysis of quantum convolutional codes' fault-tolerance performance with multiple decoding strategies and error models.

## Key findings

- Performance varies with decoding strategy and error model
- Quantum convolutional codes show promise for fault-tolerant quantum computing
- Comparative analysis highlights optimal approaches for different error conditions

## Abstract

We consider performance of a simple quantum convolutional code in a fault-tolerant regime using several syndrome measurement/decoding strategies and three different error models, including the circuit model.