Informationally incomplete quantum tomography

Yong Siah Teo 1 , Jaroslav Řeháček 1 , and Zdenĕk Hradil 1
  • 1 Department of Optics, Palacký University, 17. listopadu 12, 77146 Olomouc, Czech Republic

Abstract

In quantum-state tomography on sources with quantum degrees of freedom of large Hilbert spaces, inference of quantum states of light for instance, a complete characterization of the quantum states for these sources is often not feasible owing to limited resources. As such, the concepts of informationally incomplete state estimation becomes important. These concepts are ideal for applications to quantum channel/ process tomography, which typically requires a much larger number of measurement settings for a full characterization of a quantum channel. Some key aspects of both quantumstate and quantum-process tomography are arranged together in the form of a tutorial review article that is catered to students and researchers who are new to the field of quantum tomography, with focus on maximum-likelihood related techniques as instructive examples to illustrate these ideas.

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