Lune

ASPLOS2022顶会

LILLIPUT: a lightweight low-latency lookup-table decoder for near-term Quantum error correction

Poulami Das, Aditya Locharla, Cody Jones

2022年份
51被引次数
15顶会引用

摘要

The error rates of quantum devices are orders of magnitude higher than what is needed to run most quantum applications. To close this gap, Quantum Error Correction (QEC) encodes logical qubits and distributes information using several physical qubits. By periodically executing a syndrome extraction circuit on the logical qubits, information about errors (called syndrome) is extracted while running programs. A decoder uses these syndromes to identify and correct errors in real time, which is necessary to prevent accumulation of errors. Unfortunately, software decoders are slow and hardware decoders are fast but less accurate. Thus, almost all QEC studies so far have relied on offline decoding.

问问这篇 Paper

问问你的智能体。

Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。

可以从这些问题问起

智能体调用

Lunesearch_papers

在 Lune 里问

免费开始,无需绑卡

lune papers get 7cd68694-3d4b-4822-be3e-b1a8942a7e82

引用它的顶会 Paper15

问问它们各自怎么用它

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖