Fully-controlled realistic error generation for tabular data.
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Updated
Mar 13, 2026 - Python
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error-modeling
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QECops is a lightweight, open-source Monte Carlo simulation framework for studying how noise assumptions influence logical error behavior in quantum error correction (QEC). The question it seeks to answer is: How sensitive are QEC performance conclusions to the choice of noise model assumptions?
reproducible-research scientific-computing quantum-computing monte-carlo-simulation quantum-information model-validation error-analysis probabilistic-modeling binomial-distribution quantum-simulation quantum-error-correction numerical-simulation quantum-noise noise-models error-modeling qecops quantum-error-modeling
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Jun 2, 2026 - Python
Error-correcting neural network for semi-Lagrangian advection in the level-set method
machine-learning deep-learning level-set-method error-modeling semi-lagrangian-advection stefan-problem
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Updated
Dec 28, 2021 - Python
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