Effects of dissipation on an adiabatic quantum search algorithm

被引:19
|
作者
de Vega, Ines [1 ,2 ]
Banuis, Mari Carmen [2 ]
Perez, A. [3 ,4 ]
机构
[1] Univ Ulm, Inst Theoret Phys, D-89069 Ulm, Germany
[2] Max Planck Inst Quantum Opt, D-85748 Garching, Germany
[3] Univ Valencia, CSIC, Dept Fis Teor, E-46100 Burjassot, Spain
[4] Univ Valencia, CSIC, IFIC, E-46100 Burjassot, Spain
来源
NEW JOURNAL OF PHYSICS | 2010年 / 12卷
关键词
ULTRACOLD ATOMS; SYSTEM; PHASE; GAS;
D O I
10.1088/1367-2630/12/12/123010
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
According to recent studies (Amin et al 2008 Phys. Rev. Lett. 100 060503), the effect of a thermal bath may improve the performance of a quantum adiabatic search algorithm. In this paper, we compare the effects of such a thermal environment on the algorithm performance with those of a structured environment similar to the one encountered in systems coupled to an electromagnetic field that exists within a photonic crystal. Whereas for all the parameter regimes explored here, the algorithm performance is worsened by contact with a thermal environment, the picture appears to be different when one considers a structured environment. In this case we show that by tuning the environment parameters to certain regimes, the algorithm performance can actually be improved with respect to the closed system case. Additionally, the relevance of considering the dissipation rates as complex quantities is discussed in both cases. More specifically, we find that the imaginary part of the rates cannot be neglected with the usual argument that it simply amounts to an energy shift and in fact influences crucially the system dynamics.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Adiabatic quantum search algorithm for structured problems
    Roland, J
    Cerf, NJ
    [J]. PHYSICAL REVIEW A, 2003, 68 (06)
  • [2] Adiabatic Quantum Algorithm for Search Engine Ranking
    Garnerone, Silvano
    Zanardi, Paolo
    Lidar, Daniel A.
    [J]. PHYSICAL REVIEW LETTERS, 2012, 108 (23)
  • [3] Transitionless driving on local adiabatic quantum search algorithm
    Li, Feng-guang
    Bao, Wan-su
    Zhang, Shuo
    Wang, Xiang
    Huang, He-liang
    Li, Tan
    Ma, Bo-wen
    [J]. CHINESE PHYSICS B, 2018, 27 (01)
  • [4] Partial adiabatic quantum search algorithm and its extensions
    Jie Sun
    Songfeng Lu
    Fang Liu
    [J]. Quantum Information Processing, 2013, 12 : 2689 - 2699
  • [5] Partial adiabatic quantum search algorithm and its extensions
    Sun, Jie
    Lu, Songfeng
    Liu, Fang
    [J]. QUANTUM INFORMATION PROCESSING, 2013, 12 (08) : 2689 - 2699
  • [6] A quantum search algorithm based on partial adiabatic evolution
    Zhang Ying-Yu
    Hu He-Ping
    Lu Song-Feng
    [J]. CHINESE PHYSICS B, 2011, 20 (04)
  • [7] A quantum search algorithm based on partial adiabatic evolution
    张映玉
    胡和平
    路松峰
    [J]. Chinese Physics B, 2011, 20 (04) : 80 - 83
  • [8] Transitionless driving on local adiabatic quantum search algorithm
    李风光
    鲍皖苏
    张硕
    汪翔
    黄合良
    李坦
    马博文
    [J]. Chinese Physics B, 2018, 27 (01) : 288 - 292
  • [9] Non-Markovian decoherence in the adiabatic quantum search algorithm
    Tiersch, Markus
    Schuetzhold, Ralf
    [J]. PHYSICAL REVIEW A, 2007, 75 (06):
  • [10] Efficient realization of quantum search algorithm using quantum annealing processor with dissipation
    Homid, A. H.
    Abdel-Aty, A.
    Abdel-Aty, M.
    Badawi, A.
    Obada, A. -S. F.
    [J]. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS, 2015, 32 (09) : 2025 - 2033