Training reservoirs without looking back
摘要
一种物理学习框架通过在不访问储层计算系统中间状态、并消除节点间耦合的条件下完成训练，在仿真和光电子硬件上均实现了高效学习。该研究发表于 Nature Computational Science，DOI 为 10.1038/s43588-026-01079-6。
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正文 · 原文
Nature Computational Science, Published online: 13 November 2026; doi:10.1038/s43588-026-01079-6
By training a reservoir computing system without access to its intermediate states and by eliminating the coupling between its nodes, a physical learning framework achieves efficient learning both in simulation and on optoelectronic hardware.
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来源：Nature Computational Science · nature.com
引用原文
Hanglin He. Training reservoirs without looking back[EB/OL]. (2026-11-13)[访问日期]. https://www.nature.com/articles/s43588-026-01079-6.