English(EN) Quantum data loading from the learned shared structure of real signals

新的量子数据加载方法学习数据集结构以实现高效状态制备

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-07 04:00

arXiv上的一篇新论文介绍了一种新颖的量子数据加载方法，该方法学习数据集的低维描述。这种方法允许使用固定的电路来制备量子态，该电路由几个数字决定，这些数字可以从数据的随机子集中推断出来。与现有的结构化加载器相比，该方法通过每个信号所需的数字更少而显示出效率，尽管它可能比某些基线覆盖的情况更少。 AI

排序理由这是一篇发表在arXiv上的研究论文，详细介绍了一种新的量子数据加载方法。[lever_c_research降级：ic=1 ai=0.1]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Pablo Herrero G\'omez, Antonio Jimeno Morenilla, David Mu\~noz-Hern\'andez, Higinio Mora Mora · 2026-10-07 04:00

从真实信号的学习共享结构中进行量子数据加载

arXiv:2610.06076v2 Announce Type: replace-cross Abstract: Preparing quantum states from classical data can cost more than the computation they serve; most loaders tailor a circuit to each input. Here we show that the signals of a real dataset share structure that can be learned o…

本文如何被排名

报道来源 [1]

从真实信号的学习共享结构中进行量子数据加载

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