Literature DB >> 12785945

Ancilla-assisted quantum process tomography.

J B Altepeter1, D Branning, E Jeffrey, T C Wei, P G Kwiat, R T Thew, J L O'Brien, M A Nielsen, A G White.   

Abstract

Complete and precise characterization of a quantum dynamical process can be achieved via the method of quantum process tomography. Using a source of correlated photons, we have implemented several methods, each investigating a wide range of processes, e.g., unitary, decohering, and polarizing. One of these methods, ancilla-assisted process tomography (AAPT), makes use of an additional "ancilla system," and we have theoretically determined the conditions when AAPT is possible. Surprisingly, entanglement is not required. We present data obtained using both separable and entangled input states. The use of entanglement yields superior results, however.

Year:  2003        PMID: 12785945     DOI: 10.1103/PhysRevLett.90.193601

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  4 in total

1.  Learning an unknown transformation via a genetic approach.

Authors:  Nicolò Spagnolo; Enrico Maiorino; Chiara Vitelli; Marco Bentivegna; Andrea Crespi; Roberta Ramponi; Paolo Mataloni; Roberto Osellame; Fabio Sciarrino
Journal:  Sci Rep       Date:  2017-10-30       Impact factor: 4.379

2.  Temporal and spatial multiplexed infrared single-photon counter based on high-speed avalanche photodiode.

Authors:  Xiuliang Chen; Chengjie Ding; Haifeng Pan; Kun Huang; Julien Laurat; Guang Wu; E Wu
Journal:  Sci Rep       Date:  2017-03-15       Impact factor: 4.379

3.  Implementing efficient selective quantum process tomography of superconducting quantum gates on IBM quantum experience.

Authors:  Akshay Gaikwad; Krishna Shende; Kavita Dorai
Journal:  Sci Rep       Date:  2022-03-07       Impact factor: 4.379

4.  First observation of the quantized exciton-polariton field and effect of interactions on a single polariton.

Authors:  Álvaro Cuevas; Juan Camilo López Carreño; Blanca Silva; Milena De Giorgi; Daniel G Suárez-Forero; Carlos Sánchez Muñoz; Antonio Fieramosca; Filippo Cardano; Lorenzo Marrucci; Vittorianna Tasco; Giorgio Biasiol; Elena Del Valle; Lorenzo Dominici; Dario Ballarini; Giuseppe Gigli; Paolo Mataloni; Fabrice P Laussy; Fabio Sciarrino; Daniele Sanvitto
Journal:  Sci Adv       Date:  2018-04-20       Impact factor: 14.136

  4 in total

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