12 citations · 23 across the 5 of their papers we have counts for
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quant-ph2025
Quantum-Enhanced LLM Efficient Fine Tuning
Xiaofei Kong, Lei Li, Zhaoyun Chen +10
Low-Rank Adaptation (LoRA) enables efficient fine-tuning of pre-trained language models through low-rank matrix approximation, achieving effectiveness in many scenarios. However, i…
quant-ph2024★ 12 cited
Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance
Shengbin Wang, Peng Wang, Guihui Li +8
Great efforts have been dedicated in recent years to explore practical applications for noisy intermediate-scale quantum (NISQ) computers, which is a fundamental and challenging pr…
quant-ph2023★ 2 cited
VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum
Huanyu Bian, Zhilong Jia, Menghan Dou +13
With the rapid development of classical and quantum machine learning, a large number of machine learning frameworks have been proposed. However, existing machine learning framework…