Abstract

We study the weak-convergence properties of random variables generated by unsharp quantum measurements. More precisely, for a sequence of random variables generated by repeated unsharp quantum measurements, we study the limit distribution of relative frequency. We provide a representation theorem for all separable states, showing that the distribution can be well approximated by a mixture of normal distributions. Furthermore, we investigate the convergence rates and show that the relative frequency can stabilize to some constant at best at the rate of order for all separable inputs. On the other hand, we provide an example of a strictly unsharp quantum measurement where the better rates are achieved by using entangled inputs. This means that in certain cases the noise generated by the measurement process can be suppressed by using entanglement. We deliver our result in the form of quantum information task where the player achieves the goal with certainty in the limiting case by using entangled inputs or fails with certainty by using separable inputs.

Highlights

  • Quantum theory predicts probability distribution of measurement outcomes

  • In this letter we investigated the limit distribution of relative frequency for correlated inputs subjected to strictly unsharp quantum measurements

  • For N quantum systems prepared in a generic state ρ, individually measured with POVMs that are strictly unsharp, we found two different types of behavior for separable and entangled input state ρ

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Summary

June 2018

We study the weak-convergence properties of random variables generated by unsharp quantum. For a sequence of random variables generated by repeated unsharp this work must maintain attribution to the quantum measurements, we study the limit distribution of relative frequency. We provide a author(s) and the title of representation theorem for all separable states, showing that the distribution can be well approximated the work, journal citation and DOI. We provide an example of a strictly unsharp quantum measurement where the better rates are achieved by using entangled inputs. This means that in certain cases the noise generated by the measurement process can be suppressed by using entanglement.

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