This review serves as a concise introductory survey of modern compressive tomography developed since 2019. These are schemes meant for characterizing arbitrary low-rank quantum objects, be it an unknown state, a process or detector, using minimal measuring resources (hence compressive) without any \emph{a priori} assumptions (rank, sparsity, eigenbasis, \emph{etc}.) about the quantum object. This article contains a reasonable amount of technical details for the quantum-information community to start applying the methods discussed here. To facilitate the understanding of formulation logic and physics of compressive tomography, the theoretical concepts and important numerical results (both new and cross-referenced) shall be presented in a pedagogical manner.
@article{arxiv.2106.10655,
title = {Modern compressive tomography for quantum information science},
author = {Yong Siah Teo and Luis L. Sanchez-Soto},
journal= {arXiv preprint arXiv:2106.10655},
year = {2022}
}