This review paper describes the basic concept and technical details of sparse modeling and
its applications to quantum many-body problems. Sparse modeling refers to methodologies …

Compressed sensing is a scheme that allows for sparse signals to be acquired, transmitted,
and stored using far fewer measurements than done by conventional means employing the …

The discovery of quantum materials entails extensive spectroscopic studies that are carried
out against multitudes of degrees of freedom, such as magnetic field, location, temperature …

Scanning tunneling microscopy (STM) is a notoriously slow technique; data-recording is
serial, which renders complex measurement tasks, such as quasiparticle interference (QPI) …

Quasiparticle interference imaging (QPI) offers insight into the band structure of quantum
materials from the Fourier transform of local density of states (LDOS) maps. Their acquisition …

Compressed sensing (CS) is a valuable technique for reconstructing measurements in
numerous domains. CS has not yet gained widespread adoption in scanning tunneling …

Compton scattering is a well-established technique that can provide detailed information
about electronic states in solids. Making use of the principle of tomography, it is possible to …

We propose a data-driven procedure for diagnosing the results of compressed sensing as
success or failure. Compressed sensing is an efficient data-acquisition method widely used …

Using a low-temperature scanning tunneling microscope (STM), we investigated the role of
atomic-scale defects of a cleaved SnSe (100) surface on the electronic structure around …

For the realization of magnonic devices, spin-wave dispersions need to be identified.
Recently, the time-resolved pump-probe imaging method combined with the Fourier …