作者位次 #2/2ACL 2026Findings· Findings of ACL
Large Language Models Can Help Mitigate Barren Plateaus in Quantum Neural Networks
Jun Zhuang · Chaowen Guan
摘要
In the era of noisy intermediate-scale quantum (NISQ) computing, Quantum Neural Networks (QNNs) have emerged as a promising approach for various applications, yet their training is often hindered by barren plateaus (BPs), where gradient variance vanishes exponentially as the qubit size increases....