联邦量子学习结合零噪声外推引导校正，有效提升噪声环境下量子模型的鲁棒性与性能。
arXiv:2605.30075v1 Announce Type: new Abstract: Quantum Federated Learning (QFL) offers a promising framework to train quantum models across distribut…
训练后的量子神经网络展现出高斯过程行为，揭示其与经典核方法的深层联系，为量子机器学习理论提供新视角
arXiv:2402.08726v2 Announce Type: replace-cross Abstract: We study quantum neural networks made by parametric one-qubit gates and fixed two-qubit gate…
量子机器学习的不确定性量化难题，本文提出自适应共形预测框架解决可靠性问题。
arXiv:2511.18225v2 Announce Type: replace Abstract: Quantum machine learning seeks to leverage quantum computers to improve upon classical machine lea…
量子机器学习新突破：可训练频率电路用更少编码门实现高频近似，优化变分量子电路效率。
arXiv:2602.23409v2 Announce Type: replace-cross Abstract: Angle-encoded variational quantum circuits admit a truncated Fourier series representation o…