Papers by Chaowen Guan
Large Language Models Can Help Mitigate Barren Plateaus in Quantum Neural Networks (2026.findings-acl)
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| Challenge: | Quantum Neural Networks (QNNs) are often hindered by barren plateaus (BPs) barren peaks are where gradient variance vanishes exponentially as qubit size increases . |
| Approach: | They propose a framework that leverages large language models with the submartingale property to iteratively synthesize initial parameters for QNNs that yield non-negligible gradient variance. |
| Outcome: | The proposed framework outperforms existing initialization methods in maintaining higher gradient variance across various QNN scales. |