DEM Probabilities in Stim

DEM Probabilities in Stim Ask Question Asked today Modified today Viewed 8 times 1 In Stim DEMs, error(p) gives the probability of an error mechanism. In literature where decoding is modeled using syndrome graphs, p is assigned to edges representing detection events. Are these p’s directly the same, or does the DEM p correspond to a more microscopic quantity that needs to be combined to match the syndrome-graph definition? stimdecodingsyndrome Share Improve this question Follow asked 4 hours ago Qecec 574 4 bronze badges Add a comment Know someone who can answer? Share a link to this question via email, Twitter, or Facebook. Your Answer Sign up or log in Sign up using Google Sign up using Email and Password Post as a guest Name Email Required, but never shown Post Your Answer By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy. Start asking to get answers Find the answer to your question by asking. Ask question Explore related questions stimdecodingsyndrome See similar questions with these tags. The Overflow Blog He designed C++ to solve your code problems Seizing the means of messenger production Related 1 Within Stim, how to trace back DEM error instructions to Stim circuit faults 0 Exact Probabilities of Outcomes for Clifford Circuits with Mid-Circuit Measurements Using Stim 0 How to compute projective probabilities of a given measurement outcome using Stim? 1 How is the match graph extracted from a stim.circuit.detector_error_model? 0 It seems a failure to track back error mechanism from DEM to circuit faults 1 Motivation for simulating multiround syndrome extraction circuits for quantum error correction code 2 Proof of decoding process transporting back to codespace for understanding stim logical error calculations 2 Ignoring Detectors with PyMatching and Stim 0 stim: understanding DEM probability calculations Hot Network Questions Do the creases intersect? 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