条件系统的可扩展量子场模拟
Scalable quantum field simulations of conditioned systems
摘要：
我们展示了一种技术进行随机模拟的条件主方程。该方法是可扩展的许多量子场的问题，因此允许第一原理模拟的多模玻色子场进行连续测量，如基于测量的反馈控制。作为例子，我们证明了一个单一的被困粒子的反馈冷却的模拟速度增加了53倍，并与32模式的量子场的反馈冷却，这将是不切实际的使用以前的蛮力方法。
英文摘要：
We demonstrate a technique for performing stochastic simulations of conditional master equations. The method is scalable for many quantum-field problems and therefore allows first-principles simulations of multimode bosonic fields undergoing continuous measurement, such as those controlled by measurement-based feedback. As examples, we demonstrate a 53-fold speed increase for the simulation of the feedback cooling of a single trapped particle, and the feedback cooling of a quantum field with 32 modes, which would be impractical using previous brute force methods.
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