A platform for high performance photon correlation measurements
Abstract
A broad range of scientific and industrial disciplines require precise optical measurements at very low light levels. Single-photon detectors combining high efficiency and high time resolution are pivotal in such experiments. By using relatively thick films of NbTiN (8-11\,nm) and improving the pattern fidelity of the nano-structure of the superconducting nanowire single-photon detectors (SNSPD), we fabricated devices demonstrating superior performance over all previously reported detectors in the combination of efficiency and time resolution. Our findings prove that small variations in the nanowire width, in the order of a few nanometers, can lead to a significant penalty on their temporal response. Addressing these issues, we consistently achieved high time resolution (best device 7.7\,ps, other devices 10-16\,ps) simultaneously with high system detection efficiencies () in the wavelength range of 780-1000\,nm, as well as in the telecom bands (1310-1550\,nm). The use of thicker films allowed us to fabricate large-area multi-pixel devices with homogeneous pixel performance. We first fabricated and characterized a 16-pixel detector and showed there was little variation among individual pixels. Additionally, to showcase the power of our platform, we fabricated and characterized 4-pixel multimode fiber-coupled detectors and carried out photon correlation experiments on a nanowire quantum dot resulting in values lower than 0.04. The multi-pixel detectors alleviate the need for beamsplitters and can be used for higher order correlations with promising prospects not only in the field of quantum optics, but also in bio-imaging applications, such as fluorescence microscopy and positron emission tomography.
Keywords
Cite
@article{arxiv.2003.09916,
title = {A platform for high performance photon correlation measurements},
author = {Iman Esmaeil Zadeh and Johannes W. N. Los and Ronan B. M. Gourgues and Jin Chang and Ali W. Elshaari and Julien Zichi and Yuri J. van Staaden and Jeroen Swens and Nima Kalhor and Antonio Guardiani and Yun Meng and Kai Zou and Sergiy Dobrovolskiy and Andreas W. Fognini and Dennis R. Schaart and Dan Dalacu and Philip J. Poole and Michael E. Reimer and Xiaolong Hu and Silvania F. Pereira and Val Zwiller and Sander N. Dorenbos},
journal= {arXiv preprint arXiv:2003.09916},
year = {2020}
}