Literature DB >> 31684343

Photonic scheme of quantum phase estimation for quantum algorithms via cross-Kerr nonlinearities under decoherence effect.

Changho Hong, Jino Heo, Min-Sung Kang, Jingak Jang, Hyun-Jin Yang, Daesung Kwon.   

Abstract

Quantum phase estimation (QPE) is the key procedure in various quantum algorithms. The main aim of the QPE scheme is to estimate the phase of an unknown eigenvalue, corresponding to an eigenstate of an arbitrary unitary operation. The QPE scheme can be applied as a subroutine to design many quantum algorithms. In this paper, we propose the basic structure of a QPE scheme that could be applied in quantum algorithms, with feasibility by utilizing cross-Kerr nonlinearities (controlled-unitary gates) and linearly optical devices. Subsequently, we analyze the efficiency and the performance of the controlled-unitary gate. This gate consists of a controlled-path gate and a merging-path gate via cross-Kerr nonlinearities under the decoherence effect. Also shown in this paper is a method by which to enhance robustness against the decoherence effect to provide a reliable QPE scheme based on controlled-unitary gates.

Year:  2019        PMID: 31684343     DOI: 10.1364/OE.27.031023

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  3 in total

1.  Procedure via cross-Kerr nonlinearities for encoding single logical qubit information onto four-photon decoherence-free states.

Authors:  Jino Heo; Seong-Gon Choi
Journal:  Sci Rep       Date:  2021-05-17       Impact factor: 4.379

2.  Encoding scheme using quantum dots for single logical qubit information onto four-photon decoherence-free states.

Authors:  Jino Heo; Changho Hong; Min-Sung Kang; Hyung-Jin Yang
Journal:  Sci Rep       Date:  2020-09-18       Impact factor: 4.379

3.  Optical Fredkin gate assisted by quantum dot within optical cavity under vacuum noise and sideband leakage.

Authors:  Min-Sung Kang; Jino Heo; Seong-Gon Choi; Sung Moon; Sang-Wook Han
Journal:  Sci Rep       Date:  2020-03-20       Impact factor: 4.379

  3 in total

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