论文标题
量子计算的自旋预测：强相关性的低深度方法
Spin-projection for quantum computation: A low-depth approach to strong correlation
论文作者
论文摘要
尽管自旋是费米管系统中的核心特性，但在变异模拟中可以很容易地违反其对称性，尤其是在强相关起着至关重要的作用时。在这项研究中，我们将证明可以在量子计算机中精确地恢复损坏的自旋对称性，而电路上的开销很少，同时提供了与所需的自旋量子数的额外强相关能。提出的方案允许通过仅使用少数几个旋转量子状态的叠加来大幅度降低所需的大量测量，以确保自旋对称性。我们的实施是通用的，简单的，最重要的是，直接适用于迄今为止提议的任何安萨兹。
Although spin is a core property in fermionic systems, its symmetry can be easily violated in a variational simulation, especially when strong correlation plays a vital role therein. In this study, we will demonstrate that the broken spin-symmetry can be restored exactly in a quantum computer, with little overhead in circuits, while delivering additional strong correlation energy with the desired spin quantum number. The proposed scheme permits drastic reduction of a potentially large number of measurements required to ensure spin-symmetry by employing a superposition of only a few rotated quantum states. Our implementation is universal, simple, and, most importantly, straightforwardly applicable to any ansatz proposed to date.
