1973
DOI: 10.1007/bf00172374
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Theoretical considerations and simulation models related to the method of Sonquist and Morgan

Abstract: The tree which results from the application of the Sonquist and Morgan method is based on the principle of dichotomizing the population at each point according to one of the independent variables in such a way as to explain as much variance of the dependent variables as possible. Confronted before applying this tree-analysismethod, with a distribution of the dependent variable, we may imagine that this distribution was the result of some process Pj.

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Cited by 7 publications
(9 citation statements)
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“…This is similar to what is normally done for quantum gates [30,31]. Provided that errors are mainly introduced by random jitter, both threshold and protection time τ will play a fundamental role on the interpretation of the results presented here.…”
Section: Udd With Power-law Spectral Densitysupporting
confidence: 79%
“…This is similar to what is normally done for quantum gates [30,31]. Provided that errors are mainly introduced by random jitter, both threshold and protection time τ will play a fundamental role on the interpretation of the results presented here.…”
Section: Udd With Power-law Spectral Densitysupporting
confidence: 79%
“…In many-copy form, this is a problem of resource transformation ρ ⊗n O − → |φ φ|, where |φ is a magic state. This task has been coined magic state distillation (Anwar et al, 2012;Bravyi and Kitaev, 2005;Campbell and Browne, 2009;Reichardt, 2005), and it is an analog to the task of ebit distillation in the QRT of entanglement.…”
Section: Stabilizer Computation and "Magic" Statesmentioning
confidence: 99%
“…It is well established that a ratio of around 1000 is good enough for FTQC, and recent estimates of this have been a low as 100 [27]. We have demonstrated that an entangling gate can be performed in real systems in around 5 ps, which is around 200 times shorter than the longest measurements of decoherence times [12].…”
mentioning
confidence: 69%