Direct evaluation of measurement uncertainties by feedback compensation of decoherence

TL;DR

This paper introduces a method to directly evaluate measurement uncertainties in quantum systems by using feedback compensation of decoherence, linking the uncertainties to weak values and Ozawa's definitions.

Contribution

It presents a novel feedback-based approach to empirically assess quantum measurement uncertainties without requiring a second reference measurement.

Findings

Uncertainty estimates align with Ozawa's theoretical framework.

Optimal estimates correspond to weak values.

Feedback compensation effectively demonstrates measurement error definitions.

Abstract

It is difficult to evaluate the precision of quantum measurements because it is not possible to conduct a second reference measurement on the same physical system to compare the measurement outcome with a more accurate value of the measured quantity. Here, I show that a direct evaluation of measurement uncertainties is possible when the measurement outcomes are used to compensate the small amount of decoherence induced in a probe qubit by carefully controlled interactions with the system. Since the original uncertainty of the target observable causes fluctuating phase shifts in the probe qubit, any additional information obtained about the target observable can be used to compensate a part of the decoherence by applying a conditional phase shift to the reference qubit. The magnitude of this negative feedback corresponds to an estimate of the target observable, and the uncompensated decoherence defines the uncertainty of that estimate. The results of the analysis show that the uncertainties of the estimates are given by the uncertainties introduced by Ozawa in Phys. Rev. A 67, 042105 (2003) and the optimal estimates are given by the weak values associated with the different measurement outcomes. Feedback compensation of decoherence therefore demonstrates the empirical validity of definitions of errors and estimates that combine the initial information of the input state with the additional information provided by each measurement outcome.