nqs-rbm is an open-source neural quantum state model based on restricted Boltzmann machines, designed for quantum physics research. It provides Python integration, training visualization, and is suitable for researchers modeling quantum systems.
In the Other AI space, Nqs Rbm takes a focused approach. It focuses on providing an open-source tool for modeling quantum states using neural networks for researchers in quantum physics. It is built as an open-source project for quantum physicists, computational scientists, AI researchers. Nqs Rbm is open source under the Open Source license. It runs on the web and the command line, and it can be self-hosted.
It is developed by Niklas Bliemel, and the product first shipped in 2026. Development happens publicly on GitHub with 18 commits in the last 90 days. Key capabilities include quantum state modeling, RBM architecture, and python integration.
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