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English(EN) DeepUnfolding_Agent: A Classical_Quantum Adaptive Control API

DeepUnfolding Agent平台为机器学习和量子工作流提供自适应控制

一个名为DeepUnfolding Agent的新软件平台已被开发出来,为异构优化工作流提供可重用且可追溯的自适应控制层。该平台使用FastAPI构建,通过将深度展开的自适应控制暴露为外部服务,将控制器智能与领域特定执行分离。它支持经典、量子感知、混合以及各种执行路径,包括Qiskit Aer和IBM Quantum,并通过跨多个领域的广泛测试和演示进行了验证。 AI

影响 该平台通过将控制器逻辑与执行环境解耦,有望提高复杂机器学习和量子工作流的可复现性和安全性。

排序理由 该项目是一篇研究论文,详细介绍了一个用于机器学习和量子计算中自适应控制的新软件平台。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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

DeepUnfolding Agent平台为机器学习和量子工作流提供自适应控制

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该项目是一篇研究论文,详细介绍了一个用于机器学习和量子计算中自适应控制的新软件平台。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Shanika Iroshi Nanayakkara, Shiva Raj Pokhrel ·

    DeepUnfolding_Agent:一种经典量子自适应控制API

    arXiv:2610.20615v1 Announce Type: new Abstract: Adaptive optimization workflows in machine learning, federated learning, quantum machine learning, and hybrid classical quantum systems often embed controller logic directly inside task specific training scripts. This coupling limit…