Certainty in Heisenberg's uncertainty principle: Revisiting definitions for estimation errors and disturbance
Justin Dressel, Franco Nori

TL;DR
This paper critically examines the definitions of measurement error and disturbance in quantum mechanics, proposing alternative approaches that better align with Heisenberg's original ideas and experimental realities.
Contribution
It revisits and refines the definitions of error and disturbance, introducing outcome-specific measures based on retrodictive and interdictive states.
Findings
Error can be interpreted as dispersion in estimation.
Experimental data can measure all observable moments.
Traditional inequalities do not fully capture Heisenberg's original concept.
Abstract
We revisit the definitions of error and disturbance recently used in error-disturbance inequalities derived by Ozawa and others by expressing them in the reduced system space. The interpretation of the definitions as mean-squared deviations relies on an implicit assumption that is generally incompatible with the Bell-Kochen-Specker-Spekkens contextuality theorems, and which results in averaging the deviations over a non-positive-semidefinite joint quasiprobability distribution. For unbiased measurements, the error admits a concrete interpretation as the dispersion in the estimation of the mean induced by the measurement ambiguity. We demonstrate how to directly measure not only this dispersion but also every observable moment with the same experimental data, and thus demonstrate that perfect distributional estimations can have nonzero error according to this measure. We conclude that…
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