论文标题

复杂的兰格文方法相互作用的玻色气

Complex Langevin approach to interacting Bose gases

论文作者

Heinen, Philipp, Gasenzer, Thomas

论文摘要

相互作用的稀释玻璃纤维冷凝水的定量数值分析最常基于半古典近似。由于Bose气体的复杂导值的现场理论作用并不能直接应用标准的Monte Carlo技术,因此现在几乎完全依赖于量子力学技术的模拟。在这里,我们探讨了一种基于langevin型采样的替代方法,该方法被称为复杂的langevin(Cl)算法。虽然CL技术在高能物理学中具有长期的历史,尤其是在有限巴里元密度下的QCD模拟中,但对超电原子的应用仍处于起步阶段。在这里,我们研究了CL方法在热平衡中的单位和两大,三维非相关的bose气体中的适用性,在Bose-Einstein相变下和之上。通过与高斯级别的分析描述(包括Bogoliubov和Hartree-fock理论)进行比较,我们发现该方法允许在实验可访问的参数方面可靠,有效地可观察到。接近过渡,量子校正会导致我们在文献中已知的数值范围内繁殖的临界温度的变化。通过这项工作,我们旨在为CL提供首次测试,以作为模拟实验现实情况的潜在开箱即用工具,包括捕获几何形状和多组分/种类模型。

Quantitative numerical analyses of interacting dilute Bose-Einstein condensates are most often based on semi-classical approximations. Since the complex-valued field-theoretic action of the Bose gas does not offer itself to the direct application of standard Monte Carlo techniques, simulations beyond their scope by now almost exclusively rely on quantum-mechanical techniques. Here we explore an alternative approach based on a Langevin-type sampling in an extended state space, known as complex Langevin (CL) algorithm. While the use of the CL technique has a long-standing history in high-energy physics, in particular in the simulation of QCD at finitebaryon density, applications to ultracold atoms are still in their infancy. Here we examine the applicability of the CL approach for a one- and two-component, three-dimensional non-relativistic Bose gas in thermal equilibrium, below and above the Bose-Einstein phase transition. By comparison with analytic descriptions at the Gaussian level, including Bogoliubov and Hartree-Fock theory, we find that the method allows computing reliably and efficiently observables in the regime of experimentally accessible parameters. Close to the transition, quantum corrections lead to a shift of the critical temperature which we reproduce within the numerical range known in the literature. With this work, we aim to provide a first test of CL as a potential out-of-the-box tool for the simulation of experimentally realistic situations, including trapping geometries and multicomponent/-species models.

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