AI RESEARCH
LUNA: LUT-Based Neural Architecture for Fast and Low-Cost Qubit Readout
arXiv CS.LG
•
ArXi:2512.07808v2 Announce Type: replace-cross Qubit readout is a critical operation in quantum computing systems, which maps the analog response of qubits into discrete classical states. Deep neural networks (DNNs) have recently emerged as a promising solution to improve readout accuracy. Prior hardware implementations of DNN-based readout are resource-intensive and suffer from high inference latency, limiting their practical use in low-latency decoding and quantum error correction (QEC) loops.