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arXiv 2107.07196quant-ph
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非马尔可夫量子浴离散模近似的收敛保证

Convergence guarantees for discrete mode approximations to non-Markovian quantum baths

Max-Planck-Institut für Quantenoptik(马克斯·普朗克量子光学研究所);Munich Center for Quantum Science and Technology (MCQST)(慕尼黑量子科学与技术中心)

Rahul Trivedi, Daniel Malz, J. Ignacio Cirac

摘要:

非马尔可夫效应在固体物理、量子光学以及生物和化学系统研究中对开放量子系统的行为建模有重要意义。非马尔可夫环境通常由离散玻色子模式近似,从而将其映射到Lindbladian或Hamilton模拟问题。虽然这种模式的系统结构已经提出,所得到的近似缺乏严格和一般的收敛保证。在这封信中,我们表明,在一些物理动机的假设下,系统与环境的相互作用,有限时间动力学的非马尔可夫开放量子系统的计算与足够大的模式数是保证收敛到真正的结果。此外,我们表明,这种近似误差通常下降多项式模式的数量。我们的研究结果借给严谨的经典和量子算法近似非马尔可夫动力学。

英文摘要:

Non-Markovian effects are important in modeling the behavior of open quantum systems arising in solid-state physics, quantum optics as well as in study of biological and chemical systems. The non-Markovian environment is often approximated by discrete bosonic modes, thus mapping it to a Lindbladian or Hamiltonian simulation problem. While systematic constructions of such modes have been previously proposed, the resulting approximation lacks rigorous and general convergence guarantees. In this letter, we show that under some physically motivated assumptions on the system-environment interaction, the finite-time dynamics of the non-Markovian open quantum system computed with a sufficiently large number of modes is guaranteed to converge to the true result. Furthermore, we show that this approximation error typically falls off polynomially with the number of modes. Our results lend rigor to classical and quantum algorithms for approximating non-Markovian dynamics.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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