Quantum point spread function for imaging trapped few-body systems with a quantum gas microscope

23 June 2018

Photo: M. Pyzh, taken from New J. Phys. 21, 053013 (2019)

In collaboration with Maxim Pyzh, Sven Krönke and Peter Schmelcher, we have worked out a protocol for the imaging of trapped few-body systems with a quantum gas microscope and introduced the concept of a quantum point spread function. Quantum gas microscopes, which image the atomic occupations in an optical lattice, have opened a new avenue to the exploration of many-body lattice systems. Imaging trapped systems after freezing the density distribution by ramping up a pinning lattice leads, however, to a distortion of the original density distribution, especially when its structures are on the scale of the pinning lattice spacing. We show that this dynamics can be described by a filter, which we call in analogy to classical optics a quantum point spread function. Using a machine learning approach, we demonstrate via several experimentally relevant setups that a suitable deconvolution allows for the reconstruction of the original density distribution. These findings are both of fundamental interest for the theory of imaging and of immediate importance for current quantum gas experiments.

New J. Phys. 21, 053013 (2019)