| Literature DB >> 30839519 |
Florian Kaiser1,2,3, Panagiotis Vergyris1, Djeylan Aktas1, Charles Babin1,4, Laurent Labonté1, Sébastien Tanzilli1.
Abstract
White-light interferometry is one of today's most precise tools for determining the properties of optical materials. Its achievable precision and accuracy are typically limited by systematic errors due to a high number of interdependent data-fitting parameters. Here, we introduce spectrally resolved quantum white-light interferometry as a novel tool for optical property measurements, notably, chromatic dispersion in optical fibres. By exploiting both spectral and photon-number correlations of energy-time entangled photon pairs, the number of fitting parameters is significantly reduced, which eliminates systematic errors and leads to an absolute determination of the material parameter. By comparing the quantum method to state-of-the-art approaches, we demonstrate the quantum advantage of 2.4 times better measurement precision, despite requiring 62 times fewer photons. The improved results are due to conceptual advantages enabled by quantum optics, which are likely to define new standards in experimental methods for characterising optical materials.Entities:
Keywords: chromatic dispersion; interferometry; quantum metrology; quantum optics
Year: 2018 PMID: 30839519 PMCID: PMC6060044 DOI: 10.1038/lsa.2017.163
Source DB: PubMed Journal: Light Sci Appl ISSN: 2047-7538 Impact factor: 17.782
Figure 1Typical experimental set-ups. (a) Standard spectrally resolved WLI. (b) Quantum WLI. BS, beam splitter.
Figure 2Typical measurements acquired for inferring chromatic dispersion in a 1-m-long standard single-mode fibre. (a) Results obtained with standard WLI, and (b) using Q-WLI. Red dots are data points; blue curves are appropriate fits to the data following Equations (1) and (3), from which D is extracted. Error bars assume Poissonian photon number statistics. For standard WLI, normalization was obtained by measuring two reference spectra. For Q-WLI, normalization was performed on the fly by counting non-zero arrival time difference coincidences. For more details, refer to the Supplementary Information.
Figure 3Histogram of inferred chromatic dispersion coefficients after 100 repetitions with the same SUT for both standard (blue) and quantum-enhanced (red) measurements. Fits to the data assumed a normal distribution.
Figure 4Experimental results when using Q-WLI for inferring residual chromatic dispersion in our interferometer without the SUT. Red dots, data points; the blue curve is an appropriate fit to the data following Equation (3).