This week we revisit the springs and sticks model—one of the projects I have enjoyed the most working on during my PhD!
A universal regression model that learns using thermodynamics, and let’s us compute the minimum energy it requires to learn a function
🔗 aspuru.substack.com/p/the-spring...
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This week we revisit the springs and sticks model—one of the projects I have enjoyed the most working on during my PhD!
A universal regression model that learns using thermodynamics, and let’s us compute the minimum energy it requires to learn a function
📜 Paper: doi.org/10.1088/2058...
📝 Blog post overview: pennylane.ai/blog/2025/02...
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📜 Paper: doi.org/10.1088/2058...
📝 Blog post overview: pennylane.ai/blog/2025/02...
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Link: doi.org/10.26434/che...
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Link: doi.org/10.26434/che...
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#chemsky
#physicssky #machinelearning
Paper link: arxiv.org/abs/2508.19015
Project page (with animations & code): bestquark.github.io/springs-and-...
Authors: @realmantilla.bsky.social, @aspuru.bsky.social
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#chemsky
#physicssky #machinelearning
Paper link: arxiv.org/abs/2508.19015
Project page (with animations & code): bestquark.github.io/springs-and-...
Authors: @realmantilla.bsky.social, @aspuru.bsky.social
[1/4]
Paper link: arxiv.org/abs/2508.19015
Project page (with animations & code): bestquark.github.io/springs-and-...
Authors: @realmantilla.bsky.social, @aspuru.bsky.social
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We explore how reconfigurable neutral-atom arrays can be controlled more efficiently using reinforcement learning. [1/5]
We explore how reconfigurable neutral-atom arrays can be controlled more efficiently using reinforcement learning. [1/5]