论文标题
通过逆几何优化来控制时间依赖性噪声的量子控制
Quantum Control for Time-dependent Noise by Inverse Geometric Optimization
论文作者
论文摘要
量子系统在设计方面非常困难，因为它们对各种噪音敏感。特别是，实验中经常遇到时间依赖的噪声，但是如何克服它们仍然是一个具有挑战性的问题。在这项工作中，我们通过在滤波器功能形式主义中工作，扩展并应用了最近提出的逆几何优化的鲁棒控制技术，以对时间依赖性噪声。基本思想是将控制滤波器函数几何化，并将其与噪声光谱密度的重叠最小化。然后，这有效地降低了受控系统演化的噪声敏感性。我们表明，所提出的方法可以产生高质量的鲁棒脉冲，以在现实的噪声模型下实现所需的量子发展，从而为当前的物理平台找到实际应用。
Quantum systems are exceedingly difficult to engineer because they are sensitive to various types of noises. In particular, time-dependent noises are frequently encountered in experiments but how to overcome them remains a challenging problem. In this work, we extend and apply the recently proposed robust control technique of inverse geometric optimization to time-dependent noises by working it in the filter-function formalism. The basic idea is to parameterize the control filter function geometrically and minimize its overlap with the noise spectral density. This then effectively reduces the noise susceptibility of the controlled system evolution. We show that the proposed method can produce high-quality robust pulses for realizing desired quantum evolutions under realistic noise models, and thus will find practical applications for current physical platforms.
