Reducing measurement errors in multiqubit quantum devices is critical for performing any algorithm. Here we show how to mitigate by a classical postprocessing of the measured outcomes. Our techniques apply experiment where outcomes are used computing expected values observables. Two error-mitigation schemes presented based on tensor product and correlated Markovian noise models. Error rates par...

What is the set of possible values of a measurement error? In the majority of practical applications, an error is caused not by a single cause; it is caused by a large number of independent causes, each of which adds a small component to the total error. As a result, we get a geometric description of the area of possible values of error. In this paper, we formulate the known result (for 1-dimen...

We use Monte Carlo simulations and real data to assess the performance of methods dealing with measurement error in investment equations. Our experiments show that fixed effects, error heteroscedasticity, and data skewness severely affect the performance and reliability of methods found in the literature. Estimators that use higher-order moments return biased coefficients for (both) mismeasured...

Traditional clustering methods assume that there is no measurement error, or uncertainty, associated with data. Often, however, real world applications require treatment of data that have such errors. In the presence of measurement errors, well-known clustering methods like k-means and hierarchical clustering may not produce satisfactory results. The fundamental question addressed in this paper...

Phase-measurement interferometry (PM!) techniques enable quantitative measurements to be performed in optical testing, holographic interferometry, and speckle metrology. This paper will present results of error analyses of the most common errors in phase-measurement techniques. These errors include miscalibrated and nonlinear phase shifters, detector nonlinearities, detection quantization, vibr...

Measure errors in economic data are pervasive and nontrivial in size. The presence of measurement errors causes biased and inconsistent parameter estimates and leads to erroneous conclusions to various degrees in economic analysis. The importance of measurement errors in analyzing the empirical implications of economic theories is highlighted in Milton Friedman’s seminal book on the consumption...