Nonlocal quantum differentiation between polarization objects using entanglement
Vira R. Besaga,
Luosha Zhang,
Andres Vega,
Purujit Singh Chauhan,
Thomas Siefke,
Fabian Steinlechner,
Thomas Pertsch,
Andrey A. Sukhorukov,
Frank Setzpfandt
Affiliations
Vira R. Besaga
Friedrich Schiller University Jena, Institute of Applied Physics, Abbe Center of Photonics, Jena 07745, Germany
Luosha Zhang
Institute of Microelectronics of the Chinese Academy of Sciences, 100029 Beijing, China
Andres Vega
Friedrich Schiller University Jena, Institute of Applied Physics, Abbe Center of Photonics, Jena 07745, Germany
Purujit Singh Chauhan
Friedrich Schiller University Jena, Institute of Applied Physics, Abbe Center of Photonics, Jena 07745, Germany
Thomas Siefke
Friedrich Schiller University Jena, Institute of Applied Physics, Abbe Center of Photonics, Jena 07745, Germany
Fabian Steinlechner
Fraunhofer Institute for Applied Optics and Precision Engineering IOF, Jena 07745, Germany
Thomas Pertsch
Friedrich Schiller University Jena, Institute of Applied Physics, Abbe Center of Photonics, Jena 07745, Germany
Andrey A. Sukhorukov
ARC Centre of Excellence for Transformative Meta-Optical Systems (TMOS), Department of Electronic Materials Engineering, Research School of Physics, The Australian National University, Canberra ACT 2600, Australia
Frank Setzpfandt
Friedrich Schiller University Jena, Institute of Applied Physics, Abbe Center of Photonics, Jena 07745, Germany
For a wide range of applications, a fast, non-destructive, remote, and sensitive identification of samples with predefined characteristics is preferred instead of their full characterization. In this work, we report on the experimental implementation of a nonlocal quantum measurement scheme, which allows for differentiation among samples out of a predefined set of transparent and birefringent objects in a distant optical channel. The measurement is enabled by application of polarization-entangled photon pairs and is based on remote state preparation. On an example set of more than 80 objects characterized by different Mueller matrices, we show that only two coincidence measurements are already sufficient for successful discrimination. The number of measurements needed for sample differentiation is significantly decreased compared to a comprehensive polarimetric analysis. Our results demonstrate the potential of this polarization detection method for polarimetric applications in biomedical diagnostics, remote sensing, and other classification/detection tasks.
