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Trapped Ion Quantum Computing Quantum Machine Learning

Measuring distances in Hilbert space by many-particle interference

arXiv
Authors: Karol Bartkiewicz, Vojtěch Trávníček, Karel Lemr

Year

2018

Paper ID

22658

Status

Preprint

Abstract Read

~2 min

Abstract Words

172

Citations

N/A

Abstract

The measures of distances between points in a Hilbert space are one of the basic theoretical concepts used to characterize properties of a quantum system with respect to some etalon state. These are not only used in studying fidelity of signal transmission and basic quantum phenomena but also applied in measuring quantum correlations, and also in quantum machine learning. The values of quantum distance measures are very difficult to determine without completely reconstructing the state. Here we demonstrate an interferometric approach to measuring distances between quantum states that in some cases can outperform quantum state tomography. We propose a direct experimental method to estimate such distance measures between two unknown two-qubit mixed states as Uhlmann-Jozsa fidelity (or the Bures distance), the Hilbert-Schmidt distance, and the trace distance. The fidelity is estimated via the measurement of the upper and lower bounds of the fidelity, which are referred to as the superfidelity and subfidelity, respectively. Our method is based on the multiparticle interactions (i.e., interference) between copies of the unknown pairs of qubits.

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  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
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  • The measures of distances between points in a Hilbert space are one of the basic theoretical concepts used to characterize properties of a quantum system with respect to some...

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