Simulation of Non-Markovian Quantum Accelerated Dynamics via Time-Fractional Schrödinger Equation

• URL: http://arxiv.org/abs/2606.20024v1
• Date: Thu, 18 Jun 2026 09:54:58 GMT
• Title: Simulation of Non-Markovian Quantum Accelerated Dynamics via Time-Fractional Schrödinger Equation
• Abstract summary: The Time-Fractional Schrdinger Equation (TFSE) is an effective tool for simulating the dynamics of non-Markovian quantum systems.<n>Wei'sE is more accurate and efficient for simulating the dynamical accelerated dynamics of non-Markovian systems.
• Score: 12.720833364904157
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The Time-Fractional Schrödinger Equation (TFSE) is an effective tool for simulating the dynamics of non-Markovian quantum systems. The Quantum Speed Limit (QSL) time characterizes the minimum time required for the evolution of a non-Markovian quantum system. In this paper, Wei's TFSE is employed to simulate the non-Markovian quantum accelerated evolution process in the Resonant Dissipative Jaynes-Cummings (RDJC) model. By solving the QSL time of a time-fractional single-qubit open system, the enhancement mechanism of the system evolution speed induced by the non-Markovian memory effects of the environment is revealed. Further studies show that the optimized acceleration of the system evolution can be achieved by jointly regulating the fractional order, coupling strength, and photon number. Comparative analyses indicate that Wei's TFSE can accurately capture the non-Markovian accelerated dynamical features of the system over the entire fractional order range, whereas Naber's TFSE is applicable only within a limited fractional order interval. In addition, the comparisons of the average simulation time for calculating the dynamical trajectory of the excited-state probability demonstrate that Wei's TFSE has a significant simulation advantage in computational efficiency. Therefore, Wei's TFSE is more accurate and efficient for simulating the accelerated dynamics of non-Markovian quantum systems.

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