Literature DB >> 17155454

Direct characterization of quantum dynamics.

M Mohseni1, D A Lidar.   

Abstract

The characterization of quantum dynamics is a fundamental and central task in quantum mechanics. This task is typically addressed by quantum process tomography (QPT). Here we present an alternative "direct characterization of quantum dynamics" (DCQD) algorithm. In contrast to all known QPT methods, this algorithm relies on error-detection techniques and does not require any quantum state tomography. We illustrate that, by construction, the DCQD algorithm can be applied to the task of obtaining partial information about quantum dynamics. Furthermore, we argue that the DCQD algorithm is experimentally implementable in a variety of prominent quantum-information processing systems, and show how it can be realized in photonic systems with present day technology.

Year:  2006        PMID: 17155454     DOI: 10.1103/PhysRevLett.97.170501

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


  4 in total

1.  Quantum state and process tomography of energy transfer systems via ultrafast spectroscopy.

Authors:  Joel Yuen-Zhou; Jacob J Krich; Masoud Mohseni; Alán Aspuru-Guzik
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-12       Impact factor: 11.205

2.  Polynomial-time quantum algorithm for the simulation of chemical dynamics.

Authors:  Ivan Kassal; Stephen P Jordan; Peter J Love; Masoud Mohseni; Alán Aspuru-Guzik
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-24       Impact factor: 11.205

3.  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

4.  Direct quantum process tomography via measuring sequential weak values of incompatible observables.

Authors:  Yosep Kim; Yong-Su Kim; Sang-Yun Lee; Sang-Wook Han; Sung Moon; Yoon-Ho Kim; Young-Wook Cho
Journal:  Nat Commun       Date:  2018-01-15       Impact factor: 14.919

  4 in total

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