scholarly journals Modern compressive tomography for quantum information science

Author(s):  
Yong Siah Teo ◽  
Luis L. Sánchez-Soto

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 a priori assumptions (rank, sparsity, eigenbasis, etc.) about the quantum object. This paper 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.

2012 ◽  
Author(s):  
Paul M. Alsing ◽  
Michael L. Fanto

2020 ◽  
Author(s):  
Cherie R. Kagan ◽  
Lee C. Bassett ◽  
Christopher B. Murray ◽  
Sarah M. Thompson

2015 ◽  
Vol 17 (46) ◽  
pp. 30805-30816 ◽  
Author(s):  
Cathal Smyth ◽  
Daniel G. Oblinsky ◽  
Gregory D. Scholes

Delocalization of a model light-harvesting complex is investigated using multipartite measures inspired by quantum information science.


Author(s):  
Masahito Hayashi ◽  
Satoshi Ishizaka ◽  
Akinori Kawachi ◽  
Gen Kimura ◽  
Tomohiro Ogawa

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