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Non-Markovian dynamics of time-fractional open quantum systems

Author

Listed:
  • Wei, Dongmei
  • Liu, Hailing
  • Li, Yongmei
  • Wan, Linchun
  • Qin, Sujuan
  • Wen, Qiaoyan
  • Gao, Fei

Abstract

The Time-Fractional Schrödinger Equation (TFSE) is suitable to describe the non-Markovian dynamics of a quantum system exposed to an environment, which is instructive for understanding and characterizing the time behavior of actual physical systems. Three popular TFSEs, namely Naber’s TFSE I, Naber’s TFSE II, and XGF’s TFSE, have been introduced in the form of ∂β∂tβ with β∈0,1. However, they suffer from the drawbacks. In their respective descriptions, the total probability for finding a particle in the entire space equals one only when β=1, implying that time-fractional quantum mechanics violates quantum mechanical probability conservation. By applying the three TFSEs to a basic single-qubit open system model, we discover that in describing the non-Markovian evolution of the system, the three TFSEs are limited by their own applicable ranges of β. This indicates that the three TFSEs cannot effectively describe the non-Markovian quantum dynamics. To address these issues, we introduce a well-performed TFSE by constructing a new analytic continuation of time without iβ combined with the conformable fractional derivative. In its description, for one thing, the total probability for finding the system in any single-qubit state equals one when β∈0,1. For another, the system evolves correctly in the non-Markovian manner at all values of β. Furthermore, we study the performances of the four TFSEs applying to a two-qubit open system model and show that our TFSE still possesses the above two advantages compared with the other three TFSEs.

Suggested Citation

  • Wei, Dongmei & Liu, Hailing & Li, Yongmei & Wan, Linchun & Qin, Sujuan & Wen, Qiaoyan & Gao, Fei, 2024. "Non-Markovian dynamics of time-fractional open quantum systems," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
  • Handle: RePEc:eee:chsofr:v:182:y:2024:i:c:s0960077924003680
    DOI: 10.1016/j.chaos.2024.114816
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    References listed on IDEAS

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    1. R. D. Delaney & M. D. Urmey & S. Mittal & B. M. Brubaker & J. M. Kindem & P. S. Burns & C. A. Regal & K. W. Lehnert, 2022. "Superconducting-qubit readout via low-backaction electro-optic transduction," Nature, Nature, vol. 606(7914), pages 489-493, June.
    2. Laskin, Nick, 2017. "Time fractional quantum mechanics," Chaos, Solitons & Fractals, Elsevier, vol. 102(C), pages 16-28.
    3. Wei, Dongmei & Liu, Hailing & Li, Yongmei & Gao, Fei & Qin, Sujuan & Wen, Qiaoyan, 2023. "Quantum speed limit for time-fractional open systems," Chaos, Solitons & Fractals, Elsevier, vol. 175(P2).
    4. Akito Noiri & Kenta Takeda & Takashi Nakajima & Takashi Kobayashi & Amir Sammak & Giordano Scappucci & Seigo Tarucha, 2022. "A shuttling-based two-qubit logic gate for linking distant silicon quantum processors," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    5. B. N. Narahari Achar & Bradley T. Yale & John W. Hanneken, 2013. "Time Fractional Schrodinger Equation Revisited," Advances in Mathematical Physics, Hindawi, vol. 2013, pages 1-11, July.
    6. Karasu, Seçkin & Altan, Aytaç & Bekiros, Stelios & Ahmad, Wasim, 2020. "A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series," Energy, Elsevier, vol. 212(C).
    7. Zhao, Dazhi & Luo, Maokang, 2019. "Representations of acting processes and memory effects: General fractional derivative and its application to theory of heat conduction with finite wave speeds," Applied Mathematics and Computation, Elsevier, vol. 346(C), pages 531-544.
    8. Karasu, Seçkin & Altan, Aytaç, 2022. "Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization," Energy, Elsevier, vol. 242(C).
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