搜索

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

运动参考系中量子Fisher信息

任亚雷 周涛

引用本文:
Citation:

运动参考系中量子Fisher信息

任亚雷, 周涛

Quantum Fisher information in moving reference frame

Ren Ya-Lei, Zhou Tao
PDF
HTML
导出引用
  • 量子参数估计中的基本理论——量子Cramér-Rao不等式指出, 参数估计的方差由量子Fisher信息的倒数决定, 量子Fisher信息越大, 参数估计的方差就越小, 估计精度也就会越高. 在非相对论量子力学中, 量子Fisher信息已被广泛研究, 但考虑相对论效应对量子Fisher信息影响的研究相对较少. 本文采用粒子态的相对论变换方法, 数值计算和分析了运动参考系中单粒子态、双粒子态振幅参数$\theta $和相位参数$\varphi $的量子Fisher信息. 结果表明, 在运动参考系中, 无论是使用单粒子态还是双粒子态, 量子Fisher信息都会降低. 对于相位参数, 双粒子态的量子Fisher信息比单粒子态降低得更加显著. 然而, 对于振幅参数, 双粒子态的量子Fisher信息相对于单粒子态有所提高, 该研究结果为在相对论效应的影响下提高参数估计精度提供了有价值的参考.
    In the field of quantum metrology, an important application is quantum parameter estimation. As the fundamental theory of quantum parameter estimation, quantum Cramér-Rao inequality shows that the variance of parameter estimation is determined by the inverse of quantum Fisher information. Higher quantum Fisher information corresponds to a lower variance, thereby improving the precision of parameter estimation. Quantum Fisher information has been extensively investigated in many aspects of non-relativistic quantum mechanics, including entanglement structure detection, quantum teleportation, quantum phase transition, quantum chaos, and quantum computation. However, there are few researches considering the influence of relativistic effect on quantum Fisher information, and therefore, we attempt to investigate this topic in this work. The relativistic transformation of particle states is employed, and the quantum Fisher information about amplitude parameter $ \theta $ and phase parameter $\varphi $ are investigated in moving reference frame. In this work, the parameters to be estimated are encoded into the spin degree of freedom, and the pure single-qubit state and the pure two-qubit state are both considered. The quantum Fisher information about $ \theta $ and $\varphi $ of single-qubit state and two-qubit state in moving reference frame are numerically calculated, respectively. It can be observed that the quantum Fisher information is associated with rapidity, amplitude parameter, and the ratio of the width to the particle mass ${{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m}$. The quantum Fisher information of the estimated parameters decreases with rapidity increasing for both single-qubit state and two-qubit state. As rapidity approaches infinity, i.e. increases to the speed of light, the quantum Fisher information reaches to a constant which decreases as the ratio ${{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m}$ increases. More importantly, for the phase parameter $ \varphi $, it is observed that the quantum Fisher information of two-qubit state reduces more significantly than that of single-qubit state. While, for the amplitude parameter $\theta $, the quantum Fisher information of two-qubit state is greater than that of single-qubit state. These results are useful and valuable for improving the precision of parameter estimation under the influence of relativistic effect.
      通信作者: 周涛, taozhou@swjtu.edu.cn
    • 基金项目: 国家自然科学基金(批准号: 12147208)资助的课题.
      Corresponding author: Zhou Tao, taozhou@swjtu.edu.cn
    • Funds: Project supported by the National Natural Science Foundation of China (Grant No. 12147208).
    [1]

    钟伟 2014 博士学位论文(杭州: 浙江大学)

    Zhong W 2014 Ph. D. Dissertation (Hangzhou: Zhejiang University

    [2]

    Lu X M, Wang X G 2021 Phys. Rev. Lett. 126 120503Google Scholar

    [3]

    Matteo G A P 2009 Int. J. Quant. Inf. 7 125Google Scholar

    [4]

    Helstrom C W 1967 Phys. Lett. A 25 101Google Scholar

    [5]

    Holevo A S 1982 Probabilistic and Statistical Aspects of Quantum Theory (North Holland Amsterdam) pp52–96, 160–168

    [6]

    Yuen H P, Lax M 1973 IEEE Trans. Inf. Th. 19 740Google Scholar

    [7]

    Braunstein S, Caves C 1994 Phys. Rev. Lett. 72 3439Google Scholar

    [8]

    Braunstein S, Caves C, Milburn G 1996 Ann. Phys. 247 135Google Scholar

    [9]

    Giovannetti V, Lloyd S, Maccone L 2004 Science 306 1330Google Scholar

    [10]

    Giovannetti V, Lloyd S, Maccone L 2006 Phys. Rev. Lett. 96 010401Google Scholar

    [11]

    Giovannetti V, Lloyd S, Maccone L 2011 Nat. Photonics 5 222Google Scholar

    [12]

    任志红, 李岩, 李艳娜, 李卫东 2019 68 040601Google Scholar

    Ren Z H, Li Y, Li Y N, Li W D 2019 Acta Phys. Sin. 68 040601Google Scholar

    [13]

    Liu R, Chen Y, Jiang M, Yang X D, Wu Z, Li Y C, Yuan H D, Peng X H, Du J F 2021 Npj. Quantum. Inf. 7 170Google Scholar

    [14]

    牛明丽, 王月明, 李志坚 2022 71 090601Google Scholar

    Niu M L, Wang Y M, Li Z J 2022 Acta. Phys. Sin. 71 090601Google Scholar

    [15]

    Fisher R A 1922 Philosoph. Trans. Roy. Soc. London 222 309Google Scholar

    [16]

    Fisher R A 1925 Proc. Camb. Phil. Soc. 22 700Google Scholar

    [17]

    Helstrom C W 1969 J. Stat. Phys. 1 231Google Scholar

    [18]

    Holevo A S 2001 Statistical Structure of Quantum Theory (Berlin, Heidelberg: Springer) pp45–70

    [19]

    Pezze L, Smerzi A, Oberthaler M K, Schmied R, Treutlein P 2018 Rev. Mod. Phys. 90 035005Google Scholar

    [20]

    井晓幸 2016 博士学位论文(杭州: 浙江大学)

    Jing X X 2016 Ph. D. Dissertation (Hangzhou: Zhejiang University

    [21]

    Boixo S, Flammia S T, Caves C M, Geremia J M 2007 Phys. Rev. Lett. 98 090401Google Scholar

    [22]

    Liu W F, Zhang L H, Li C J 2010 Int J. Theor. Phys. 49 2463Google Scholar

    [23]

    刘然, 吴泽, 李宇晨, 陈昱全, 彭新华 2023 72 110305Google Scholar

    Liu R, Wu Z, Li Y C, Chen Y Q, Peng X H 2023 Acta Phys. Sin. 72 110305Google Scholar

    [24]

    Li N, Luo S L 2013 Phys. Rev. A 88 014301Google Scholar

    [25]

    Kourbolagh Y A, Azhdargalam M 2019 Phys. Rev. A 99 012304Google Scholar

    [26]

    李岩2019 博士学位论文(太原: 山西大学)

    Li Y 2019 Ph. D. Dissertation (Taiyuan: Shanxi University

    [27]

    武莹, 李锦芳, 刘金明 2018 67 140304Google Scholar

    Wu Y, Li J F, Liu J M 2018 Acta Phys. Sin. 67 140304Google Scholar

    [28]

    Zhang X Y, Lu X M, Liu J, Ding W K, Wang X G 2023 Phys. Rev. A 107 012414Google Scholar

    [29]

    Li J N, Cui D Z 2023 Phys. Rev. A 108 012419Google Scholar

    [30]

    Sone A, Cerezo M, Beckey J L, Coles P J 2021 Phys. Rev. A 104 062602Google Scholar

    [31]

    Jafarzadeh M, Rangani J H, Amniat-Talab M. 2020 Proc. R. Soc. A 476 20200378Google Scholar

    [32]

    Liu X B, Jing J L, Tian Z H, Yao W P 2021 Phys. Rev. D 103 125025Google Scholar

    [33]

    Yao Y, Xing X, Li G, Wang X G, Sun C P 2014 Phys. Rev. A 89 042336Google Scholar

    [34]

    Hosler D, Kok P 2013 Phys. Rev. A 88 052112Google Scholar

    [35]

    Zhou T, Cui J X, Cao Y 2013 Quantum. Inf. Process 12 747Google Scholar

    [36]

    Gingrich R M and Adami C 2002 Phys. Rev. Lett. 89 270402Google Scholar

    [37]

    Gingrich R M, Bergou A J, Adami C 2003 Phys. Rev. A 68 042102Google Scholar

    [38]

    Luo S L 2000 Lett. Math. Phys. 53 243Google Scholar

    [39]

    Ren J R, Song S X 2010 Int J. Theor. Phys. 49 1317Google Scholar

  • 图 1  运动坐标系中单粒子态的QFI (a) $ \theta = {{\text{π}} \mathord{\left/ {\vphantom {{\text{π}} 2}} \right. } 2} $, ${{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m} = 1,2,3,4 $时, $F\left( \varphi \right)$随$\xi $的变化; (b) $ \theta = {{\text{π}} \mathord{\left/ {\vphantom {{\text{π}} 2}} \right. } 2} $, $ {{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m} = 1,2,3,4 $时, $F\left( \theta \right)$随$\xi $的变化; (c) ${{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m} = 1$, $F\left( \varphi \right)$随$\theta $, $\xi $的变化; (d) ${{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m} = 1$, $F\left( \theta \right)$随$\theta $, $\xi $的变化

    Fig. 1.  Quantum Fisher information for one-particle state in moving frames: (a) $F\left( \varphi \right)$ is plotted as a function of $\xi $ for $ \theta = {{\text{π}} \mathord{\left/ {\vphantom {{\text{π}} 2}} \right. } 2} $ and $ {{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m} = 1,2,3,4 $ ; (b) $F\left( \theta \right)$ is plotted as a function of $\xi $ for $ \theta = {{\text{π}} \mathord{\left/ {\vphantom {{\text{π}} 2}} \right. } 2} $and $ {{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m} = 1,2,3,4 $; (c) $F\left( \varphi \right)$ is plotted as a function of $\theta $ and $\xi $ for ${{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m} = 1$; (d) $F\left( \theta \right)$ is plotted as a function of $\theta $ and $\xi $ for ${{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m} = 1$.

    图 2  运动坐标系中单粒子态与双粒子态的QFI对比 (a) ${{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m} = 1$, $\theta = {{\text{π}} \mathord{\left/ {\vphantom {{\text{π}} 2}} \right. } 2}$时, $F\left( \varphi \right)$随$\xi $的变化对比; (b) ${{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m} = 1$, $\theta = {{\text{π}} \mathord{\left/ {\vphantom {{\text{π}} 2}} \right. } 2}$时, $F\left( \theta \right)$随$\xi $的变化对比

    Fig. 2.  Quantum Fisher information for one-particle state versus that for two-particle state in moving frames: (a) $F\left( \varphi \right)$ is plotted as a function of $\xi $ for ${{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m} = 1$ and $\theta = {{\text{π}} \mathord{\left/ {\vphantom {{\text{π}} 2}} \right. } 2}$; (b) $F\left( \theta \right)$ is plotted as a function of $\xi $ for ${{{\sigma _r}} \mathord{\left/ {\vphantom {{{\sigma _r}} m}} \right. } m} = 1$ and $\theta = {{\text{π}} \mathord{\left/ {\vphantom {{\text{π}} 2}} \right. } 2}$.

    Baidu
  • [1]

    钟伟 2014 博士学位论文(杭州: 浙江大学)

    Zhong W 2014 Ph. D. Dissertation (Hangzhou: Zhejiang University

    [2]

    Lu X M, Wang X G 2021 Phys. Rev. Lett. 126 120503Google Scholar

    [3]

    Matteo G A P 2009 Int. J. Quant. Inf. 7 125Google Scholar

    [4]

    Helstrom C W 1967 Phys. Lett. A 25 101Google Scholar

    [5]

    Holevo A S 1982 Probabilistic and Statistical Aspects of Quantum Theory (North Holland Amsterdam) pp52–96, 160–168

    [6]

    Yuen H P, Lax M 1973 IEEE Trans. Inf. Th. 19 740Google Scholar

    [7]

    Braunstein S, Caves C 1994 Phys. Rev. Lett. 72 3439Google Scholar

    [8]

    Braunstein S, Caves C, Milburn G 1996 Ann. Phys. 247 135Google Scholar

    [9]

    Giovannetti V, Lloyd S, Maccone L 2004 Science 306 1330Google Scholar

    [10]

    Giovannetti V, Lloyd S, Maccone L 2006 Phys. Rev. Lett. 96 010401Google Scholar

    [11]

    Giovannetti V, Lloyd S, Maccone L 2011 Nat. Photonics 5 222Google Scholar

    [12]

    任志红, 李岩, 李艳娜, 李卫东 2019 68 040601Google Scholar

    Ren Z H, Li Y, Li Y N, Li W D 2019 Acta Phys. Sin. 68 040601Google Scholar

    [13]

    Liu R, Chen Y, Jiang M, Yang X D, Wu Z, Li Y C, Yuan H D, Peng X H, Du J F 2021 Npj. Quantum. Inf. 7 170Google Scholar

    [14]

    牛明丽, 王月明, 李志坚 2022 71 090601Google Scholar

    Niu M L, Wang Y M, Li Z J 2022 Acta. Phys. Sin. 71 090601Google Scholar

    [15]

    Fisher R A 1922 Philosoph. Trans. Roy. Soc. London 222 309Google Scholar

    [16]

    Fisher R A 1925 Proc. Camb. Phil. Soc. 22 700Google Scholar

    [17]

    Helstrom C W 1969 J. Stat. Phys. 1 231Google Scholar

    [18]

    Holevo A S 2001 Statistical Structure of Quantum Theory (Berlin, Heidelberg: Springer) pp45–70

    [19]

    Pezze L, Smerzi A, Oberthaler M K, Schmied R, Treutlein P 2018 Rev. Mod. Phys. 90 035005Google Scholar

    [20]

    井晓幸 2016 博士学位论文(杭州: 浙江大学)

    Jing X X 2016 Ph. D. Dissertation (Hangzhou: Zhejiang University

    [21]

    Boixo S, Flammia S T, Caves C M, Geremia J M 2007 Phys. Rev. Lett. 98 090401Google Scholar

    [22]

    Liu W F, Zhang L H, Li C J 2010 Int J. Theor. Phys. 49 2463Google Scholar

    [23]

    刘然, 吴泽, 李宇晨, 陈昱全, 彭新华 2023 72 110305Google Scholar

    Liu R, Wu Z, Li Y C, Chen Y Q, Peng X H 2023 Acta Phys. Sin. 72 110305Google Scholar

    [24]

    Li N, Luo S L 2013 Phys. Rev. A 88 014301Google Scholar

    [25]

    Kourbolagh Y A, Azhdargalam M 2019 Phys. Rev. A 99 012304Google Scholar

    [26]

    李岩2019 博士学位论文(太原: 山西大学)

    Li Y 2019 Ph. D. Dissertation (Taiyuan: Shanxi University

    [27]

    武莹, 李锦芳, 刘金明 2018 67 140304Google Scholar

    Wu Y, Li J F, Liu J M 2018 Acta Phys. Sin. 67 140304Google Scholar

    [28]

    Zhang X Y, Lu X M, Liu J, Ding W K, Wang X G 2023 Phys. Rev. A 107 012414Google Scholar

    [29]

    Li J N, Cui D Z 2023 Phys. Rev. A 108 012419Google Scholar

    [30]

    Sone A, Cerezo M, Beckey J L, Coles P J 2021 Phys. Rev. A 104 062602Google Scholar

    [31]

    Jafarzadeh M, Rangani J H, Amniat-Talab M. 2020 Proc. R. Soc. A 476 20200378Google Scholar

    [32]

    Liu X B, Jing J L, Tian Z H, Yao W P 2021 Phys. Rev. D 103 125025Google Scholar

    [33]

    Yao Y, Xing X, Li G, Wang X G, Sun C P 2014 Phys. Rev. A 89 042336Google Scholar

    [34]

    Hosler D, Kok P 2013 Phys. Rev. A 88 052112Google Scholar

    [35]

    Zhou T, Cui J X, Cao Y 2013 Quantum. Inf. Process 12 747Google Scholar

    [36]

    Gingrich R M and Adami C 2002 Phys. Rev. Lett. 89 270402Google Scholar

    [37]

    Gingrich R M, Bergou A J, Adami C 2003 Phys. Rev. A 68 042102Google Scholar

    [38]

    Luo S L 2000 Lett. Math. Phys. 53 243Google Scholar

    [39]

    Ren J R, Song S X 2010 Int J. Theor. Phys. 49 1317Google Scholar

  • [1] 刘然, 吴泽, 李宇晨, 陈昱全, 彭新华. 基于量子Fisher信息测量的实验多体纠缠刻画.  , 2023, 72(11): 110305. doi: 10.7498/aps.72.20230356
    [2] 李岩, 任志红. 多量子比特WV纠缠态在Lipkin-Meshkov-Glick模型下的量子Fisher信息.  , 2023, 72(22): 220302. doi: 10.7498/aps.72.20231179
    [3] 李竞, 丁海涛, 张丹伟. 非厄米哈密顿量中的量子Fisher信息与参数估计.  , 2023, 72(20): 200601. doi: 10.7498/aps.72.20230862
    [4] 牛明丽, 王月明, 李志坚. 基于量子Fisher信息的耗散相互作用光-物质耦合常数的估计.  , 2022, 71(9): 090601. doi: 10.7498/aps.71.20212029
    [5] 曹保锋, 李鹏, 李小强, 张雪芹, 宁王师, 梁睿, 李欣, 胡淼, 郑毅. 基于强耦合Duffing振子的微弱脉冲信号检测与参数估计.  , 2019, 68(8): 080501. doi: 10.7498/aps.68.20181856
    [6] 任志红, 李岩, 李艳娜, 李卫东. 基于量子Fisher信息的量子计量进展.  , 2019, 68(4): 040601. doi: 10.7498/aps.68.20181965
    [7] 武莹, 李锦芳, 刘金明. 基于部分测量增强量子隐形传态过程的量子Fisher信息.  , 2018, 67(14): 140304. doi: 10.7498/aps.67.20180330
    [8] 黄宇, 刘玉峰, 彭志敏, 丁艳军. 基于量子并行粒子群优化算法的分数阶混沌系统参数估计.  , 2015, 64(3): 030505. doi: 10.7498/aps.64.030505
    [9] 王柳, 何文平, 万仕全, 廖乐健, 何涛. 混沌系统中参数估计的演化建模方法.  , 2014, 63(1): 019203. doi: 10.7498/aps.63.019203
    [10] 常锋, 王晓茜, 盖永杰, 严冬, 宋立军. 光与物质相互作用系统中的量子Fisher信息和自旋压缩.  , 2014, 63(17): 170302. doi: 10.7498/aps.63.170302
    [11] 林剑, 许力. 基于混合生物地理优化的混沌系统参数估计.  , 2013, 62(3): 030505. doi: 10.7498/aps.62.030505
    [12] 宋君强, 曹小群, 张卫民, 朱小谦. 厄尔尼诺和南方涛动海气耦合模型中参数估计的变分方法.  , 2012, 61(11): 110401. doi: 10.7498/aps.61.110401
    [13] 龙文, 焦建军. 基于混合交叉进化算法的混沌系统参数估计.  , 2012, 61(11): 110507. doi: 10.7498/aps.61.110507
    [14] 王开, 裴文江, 张毅峰, 周思源, 邵硕. 基于符号向量动力学的耦合映像格子参数估计.  , 2011, 60(7): 070502. doi: 10.7498/aps.60.070502
    [15] 曹小群, 宋君强, 张卫民, 赵军, 张理论. 基于变分方法的混沌系统参数估计.  , 2011, 60(7): 070511. doi: 10.7498/aps.60.070511
    [16] 宋立军, 严冬, 刘烨. 玻色-爱因斯坦凝聚系统的量子Fisher信息与混沌.  , 2011, 60(12): 120302. doi: 10.7498/aps.60.120302
    [17] 陈 争, 曾以成, 付志坚. 混沌背景中信号参数估计的新方法.  , 2008, 57(1): 46-50. doi: 10.7498/aps.57.46
    [18] 李丽香, 彭海朋, 杨义先, 王向东. 基于混沌蚂蚁群算法的Lorenz混沌系统的参数估计.  , 2007, 56(1): 51-55. doi: 10.7498/aps.56.51
    [19] 贾飞蕾, 徐 伟, 都 林. 参数未知的不同阶数混沌系统广义同步及参数估计.  , 2007, 56(10): 5640-5647. doi: 10.7498/aps.56.5640
    [20] 高 飞, 童恒庆. 基于改进粒子群优化算法的混沌系统参数估计方法.  , 2006, 55(2): 577-582. doi: 10.7498/aps.55.577
计量
  • 文章访问数:  2320
  • PDF下载量:  89
  • 被引次数: 0
出版历程
  • 收稿日期:  2023-08-28
  • 修回日期:  2023-11-13
  • 上网日期:  2023-12-15
  • 刊出日期:  2024-03-05

/

返回文章
返回
Baidu
map