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English(EN) Quantum Scrambling Born Machine

量子扰动生机模型推进生成式建模

研究人员介绍了一种量子扰动生机模型,这是一种新颖的量子生成式建模方法。该模型利用固定的纠缠幺正算符作为扰动存储器来创建多量子比特纠缠,同时仅优化单量子比特旋转。研究探索了三种类型的纠缠幺正算符,发现一旦纠缠器产生接近Haar典型的纠缠,模型就能获得强劲性能,而与其具体来源无关。此外,通过使哈密顿量耦合可训练,生成任务转变为变分哈密顿量问题,其结果与参数数量相似的经典生成模型相比具有竞争力。 AI

影响 这项研究可能会推进量子计算在生成任务方面的能力,并可能带来具有独特属性的新AI模型。

排序理由 这是一篇详细介绍量子生成式建模新模型的学术论文。[lever_c_research降级:ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

量子扰动生机模型推进生成式建模

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这是一篇详细介绍量子生成式建模新模型的学术论文。[lever_c_research降级:ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Marcin P{\l}odzie\'n ·

    量子纠缠生机

    arXiv:2602.17281v2 Announce Type: replace-cross Abstract: Quantum generative modeling, where the Born rule naturally defines probability distributions through measurement of parameterized quantum states, is a promising near-term application of quantum computing. We propose a Quan…