Benchmarking Machine Learning Models for Quantum Error Correction

arXiv:2311.11167v3 Announce Type: replace-cross
Abstract: Quantum Error Correction (QEC) is one of the fundamental problems in quantum computer systems, which aims to detect and correct errors in the data qubits within quantum computers. Due to the presence of unreliable data qubits in existing quantum computers, implementing quantum error correction is a critical step when establishing a stable quantum computer system. Recently, machine learning (ML)-based approaches have been proposed to address this challenge. However, they lack a thorough understanding of quantum …

abstract arxiv benchmarking computer computers computer systems cs.lg data error error correction errors machine machine learning machine learning models quant-ph quantum quantum computer quantum computers qubits systems type