Python library for estimating logical error rates in quantum error correction with failure-conditioned MCMC and BAR splitting. Experimental pre-alpha release 0.1.0.dev5; not on PyPI.
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Updated
Oct 29, 2026 - Python
Python library for estimating logical error rates in quantum error correction with failure-conditioned MCMC and BAR splitting. Experimental pre-alpha release 0.1.0.dev5; not on PyPI.
A Tetris agent that clears ~1 billion lines per game, about 20× the best published result. Pure reinforcement learning from lines cleared alone, trained in under 6 hours on one GPU. With depth-2 search: ~15 billion.
MSc Thesis Computational Science: Pluvial Flood Estimation using Surrogate Models, Synthetic Rainfall and Rare Event Simulation
N queens counting as a rare event and a quantile integral, turned into a Monte Carlo program for P versus NP: NP = RP is shown equivalent to sampling queens completions, promise RP = promise P, which implies P = RP, is restated as a hitting set problem, with exact computations on the queens.
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