UWM-JEPA: a JEPA world model with a density-matrix latent and learned unitary predictor for imagining hidden continuations under partial observability.
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Updated
May 25, 2026 - TeX
UWM-JEPA: a JEPA world model with a density-matrix latent and learned unitary predictor for imagining hidden continuations under partial observability.
A Python project developed as part of the Ciencias Naturales y Tecnología (CNYT) course at Escuela Colombiana de Ingeniería Julio Garavito. Implements simulations of quantum observables, measurements, and system dynamics, including state transitions, Hermitian operators, eigenvalue probabilities, and unitary evolution, with Jupyter Notebook support
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