Assessing the Correctability of a Quantum Memory

Abstract

Neutral atoms are promising building blocks for quantum computing due to their scalability, flexibility and high-fidelity operations. However, they are susceptible to various noise sources, necessitating robust error correction. This study uses multi-qubit error-correcting codes to mitigate these errors. First, we decompose the noise sources affecting neutral atoms into Pauli noise components to establish an error budget. This budget is then incorporated into error-correcting codes, allowing us to analyze the effects of different noise rates using a scaling parameter. Our results show that for laser phase noise with an effective dephasing rate of 0.016 MHz, the noise rate will be under the surface code threshold for a scaling factor of approximately s=0.1. By this, we show that it is possible to suppress logical noise using the surface noise with scaling factor under s=0.1.