Controlling the entropic uncertainty lower bound in two-qubit systems under the decoherence
S. Haseli, H. Dolatkhah, S. Salimi, A. S. Khorashad

TL;DR
This paper investigates how weak measurement and measurement reversal can reduce the entropic uncertainty lower bound in two-qubit systems affected by environmental decoherence, enhancing quantum correlations and measurement predictability.
Contribution
It introduces a method to control the entropic uncertainty bound in two-qubit systems under decoherence using weak measurement and measurement reversal techniques.
Findings
Weak measurement and measurement reversal lower the uncertainty bound despite environmental noise.
The approach enhances quantum correlations between qubits A and B.
Optimal minimum uncertainty is achieved through the proposed method.
Abstract
The uncertainty principle is an inherent characteristic of quantum mechanics. This principle can be formulated in various form. Fundamentally, this principle can be expressed in terms of the standard deviation of the measured observables. In quantum information theory the preferred mathematical quantity to express the entropic uncertainty relation is the Shannon's entropy. In this work, we consider the generalized entropic uncertainty relation in which there is an additional particle as a quantum memory. Alice measures on her particle and Bob, with memory particle , predicts the Alice's measurement outcomes. We study the effects of the environment on the entropic uncertainty lower bound in the presence of weak measurement and measurement reversal. The dynamical model that is intended in this work is as follows: First the weak measurement is performed, Second the decoherence…
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