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Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)

Super-resolution spectrometer enabled by a quantum-memory-based time-frequency processor

Mateusz Mazelanik, Adam Leszczyński, Michal P. Parniak, Wojciech Wasilewski

Published Jan 1, 2022• 0 citations
Publisher

Abstract

We employ an optical quantum memory with build-in processing capabilities to demonstrate a quantum-optimal measurement of frequency separation between two narrow spectral lines.
DOI
10.1364/cleopr.2022.ctup7c_04

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High-precision optical frequency measurement underpins modern science and technology, yet conventional spectroscopic techniques struggle to resolve sublinewidth spectral features. Here we introduce a platform for super-resolved frequency estimation based on a mode-selective atomic Raman quantum memory implemented in warm caesium vapour. By precisely engineering the light-matter interaction, the memory coherently stores the optimal temporal mode with high fidelity and retrieves it on demand, achieving mode crosstalk as low as 0.34%. To estimate the separation between two spectral lines, we experimentally measure the mean squared error of the frequency estimate, reaching a sensitivity of 1/20 of the linewidth and a (34 ± 4)-fold enhancement in precision over direct intensity measurements. This enhanced frequency resolution, combined with on-demand storage, retrieval and mode-conversion capabilities, establishes a pathway towards multifunctional memory-based time-frequency sensors and their integration within quantum networks.