Quantum Wasserstein distance based on an optimization over separable states

被引:0
|
作者
Toth, Geza [1 ,2 ,3 ,4 ,5 ]
Pitrik, Jozsef [5 ,6 ,7 ]
机构
[1] Univ Basque Country UPV EHU, Theoret Phys, ES-48080 Bilbao, Spain
[2] Univ Basque Country UPV EHU, EHU Quantum Ctr, Barrio Sarriena S N, ES-48940 Leioa, Biscay, Spain
[3] Donostia Int Phys Ctr DIPC, ES-20080 San Sebastian, Spain
[4] Basque Fdn Sci, IKERBASQUE, ES-48011 Bilbao, Spain
[5] Wigner Res Ctr Phys, Inst Solid State Phys & Opt, H-1525 Budapest, Hungary
[6] Alfred Reny Inst Math, Realtanoda u 13-15, H-1053 Budapest, Hungary
[7] Budapest Univ Technol & Econ, Inst Math, Dept Anal & Operat Res, Muegyetem rkp 3, H-1111 Budapest, Hungary
来源
QUANTUM | 2023年 / 7卷
关键词
METRIC-MEASURE-SPACES; FISHER INFORMATION; MEAN-FIELD; ENTANGLEMENT; GEOMETRY; INEQUALITIES; COVARIANCE; FRAMEWORK; ENTROPY; LIMITS;
D O I
暂无
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We define the quantum Wasserstein distance such that the optimization of the coupling is carried out over bipartite separable states rather than bipartite quantum states in general, and examine its properties. Sur-prisingly, we find that the self-distance is related to the quantum Fisher information. We present a transport map corresponding to an optimal bipartite separable state. We discuss how the quantum Wasserstein distance introduced is connected to criteria detecting quantum entanglement. We define variance -like quantities that can be obtained from the quantum Wasserstein distance by replacing the minimization over quantum states by a maximization. We extend our results to a family of generalized quantum Fisher infor-mation quantities.
引用
收藏
页数:25
相关论文
共 50 条
  • [1] Quantum Wasserstein distance based on an optimization over separable states
    Toth, Geza
    Pitrik, Jozsef
    [J]. QUANTUM, 2023, 7
  • [2] On quantum versions of the classical Wasserstein distance
    Agredo, J.
    Fagnola, F.
    [J]. STOCHASTICS-AN INTERNATIONAL JOURNAL OF PROBABILITY AND STOCHASTIC REPORTS, 2017, 89 (6-7): : 910 - 922
  • [3] The Quantum Wasserstein Distance of Order 1
    De Palma, Giacomo
    Marvian, Milad
    Trevisan, Dario
    Lloyd, Seth
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2021, 67 (10) : 6627 - 6643
  • [4] Absolutely maximally entangled states, quantum-maximum-distance-separable codes, and quantum repeaters
    Alsina, Daniel
    Razavi, Mohsen
    [J]. PHYSICAL REVIEW A, 2021, 103 (02)
  • [5] Quantum Wasserstein distance between unitary operations
    Qiu, Xinyu
    Chen, Lin
    Zhao, Li -Jun
    [J]. PHYSICAL REVIEW A, 2024, 110 (01)
  • [6] Monotonicity of a quantum 2-Wasserstein distance
    Bistron, R.
    Eckstein, M.
    Zyczkowski, K.
    [J]. JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2023, 56 (09)
  • [7] Distributionally Robust Stochastic Optimization with Wasserstein Distance
    Gao, Rui
    Kleywegt, Anton
    [J]. MATHEMATICS OF OPERATIONS RESEARCH, 2023, 48 (02) : 603 - 655
  • [8] Projection Robust Wasserstein Distance and Riemannian Optimization
    Lin, Tianyi
    Fan, Chenyou
    Ho, Nhat
    Cuturi, Marco
    Jordan, Michael I.
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020, 2020, 33
  • [9] On linear optimization over Wasserstein balls
    Yue, Man-Chung
    Kuhn, Daniel
    Wiesemann, Wolfram
    [J]. MATHEMATICAL PROGRAMMING, 2022, 195 (1-2) : 1107 - 1122
  • [10] On linear optimization over Wasserstein balls
    Man-Chung Yue
    Daniel Kuhn
    Wolfram Wiesemann
    [J]. Mathematical Programming, 2022, 195 : 1107 - 1122