Teo YS, Struchalin G, Kovlakov E, Ahn D, Jeong H, Straupe SS, Kulik SP, Leuchs G, Sanchez-Soto LL (2020)
Publication Type: Journal article
Publication year: 2020
Book Volume: 101
Article Number: 022334
Journal Issue: 2
DOI: 10.1103/PhysRevA.101.022334
We present a compressive quantum process tomography scheme that fully characterizes any rank-deficient completely positive process with no spurious a priori information. It uses randomly chosen input states and adaptive output von Neumann measurements. Both entangled and tensor-product configurations are flexibly employable in our scheme, the latter of which are especially compatible with many-body quantum computing. Two main features of this scheme are the certification protocol that verifies whether the accumulated data uniquely characterize the quantum process and a compressive reconstruction method for the output states. We emulate multipartite scenarios with high-order transverse modes and optical fibers to demonstrate that, in terms of measurement resources, our assumption-free compressive strategy can reconstruct quantum processes almost equally efficiently using all types of input states and basis measurements.
APA:
Teo, Y.S., Struchalin, G., Kovlakov, E., Ahn, D., Jeong, H., Straupe, S.S.,... Sanchez-Soto, L.L. (2020). Objective compressive quantum process tomography. Physical Review A, 101(2). https://doi.org/10.1103/PhysRevA.101.022334
MLA:
Teo, Y. S., et al. "Objective compressive quantum process tomography." Physical Review A 101.2 (2020).
BibTeX: Download