Bonn 2025 – scientific programme
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QI: Fachverband Quanteninformation
QI 36: Poster – Quantum Information (joint session QI/Q)
QI 36.49: Poster
Thursday, March 13, 2025, 17:00–19:00, Tent
Sparse Optimization of Quantum Fourier Transform Spectroscopy — •Chinmay Sangavadekar1, Zhengjun Wang1,2, and Frank Schlawin1,2,3 — 1University of Hamburg, Luruper Chaussee 149, Hamburg, Germany — 2Max Planck Institute for the Structure and Dynamics of Matter, Hamburg, Germany — 3The Hamburg Centre for Ultrafast Imaging, Hamburg, Germany
Nonlinear interferometers are of fundamental importance for quantum-enhanced photonic sensing. They enable sensing in the infrared regime at low photon flux and without the need of detecting infrared photons. Here we present a theoretical model for quantum Fourier transform spectroscopy with nonlinear interferometers. We further explore how sparse optimization may reduce the necessary number of measurements and thereby speed up data acquisition.
Keywords: sparse optimization; nonlinear interferometry; Fourier-transform spectroscopy