Zero-power photonic language model–code

In plain words

Zero-power photonic language model–code is a language model that uses a 1024-dimensional complex Hilbert space with programmable Mach–Zehnder interferometer layers instead of traditional neural network components. It generates token probabilities through quantum mechanics' Born rule rather than attention mechanisms, and can produce coherent text generation after training for under 1.8 hours on a consumer GPU. The project is designed for researchers exploring quantum approaches to machine learning, with plans for eventual physical optical implementation.

written from the facts on this page · September 2026

From the sources

Entropica is the first generative language model whose forward pass is physically realizable as a passive linear-optical interferometer (zero electrical power during inference). A 1024-mode, 32-layer unitary network using only Reck-scheme MZI meshes and Born-rule readout learns coherent TinyStories-style generation in under 1.8 hours on a single laptop GPU. Model is ready for a full optical implem

You are using an outdated browser. Please upgrade your browser to improve your experience. Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. Entropica is the first generative language model whose forward pass is physically realizable as a passive linear-optical interferometer (zero electrical power during inference). A 1024-mode, 32-layer unitary network using only Reck-scheme MZI meshes and Born-rule readout learns coherent TinyStories-style generation in under 1.8 hours on a single laptop GPU. Model is…from zenodo.org

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