Quantum process tomography via completely positive and trace-preserving projection

George C. Knee, Eliot Bolduc, Jonathan Leach, Erik M. Gauger

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)
161 Downloads (Pure)


We present an algorithm for projecting superoperators onto the set of completely positive, trace-preserving maps. When combined with gradient descent of a cost function, the procedure results in an algorithm for quantum process tomography: finding the quantum process that best fits a set of sufficient observations. We compare the performance of our algorithm to the diluted iterative algorithm as well as second-order solvers interfaced with the popular cvx package for matlab, and find it to be significantly faster and more accurate while guaranteeing a physical estimate.

Original languageEnglish
Article number062336
JournalPhysical Review A
Issue number6
Publication statusPublished - 28 Dec 2018

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics


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