论文标题
Ansätze，用于嘈杂的变化量子本质体
Ansätze for Noisy Variational Quantum Eigensolvers
论文作者
论文摘要
有用的量子算法的硬件要求仍未被当今可用的量子计算机所满足。由于它旨在软化这些要求，因此变异量子本质量（VQE）已成为竞争者，成为有机会使用近期量子计算机获得量子优势的竞争者。 ANSATZ是准备试验状态的参数化电路，可以决定VQE的成功（或缺乏）。太深的Ansätze可能会阻碍近期的生存能力，或导致训练性问题导致算法效率低下。本文的目的是分析提出的量子化学的不同Ansätze，研究其在最先进的量子计算机中的噪声和生存能力。特别是，探索了动态ansätze（Adapt-vQes），并分析了池选择和选择标准对其性能的影响。
The hardware requirements of useful quantum algorithms remain unmet by the quantum computers available today. Because it was designed to soften these requirements, the Variational Quantum Eigensolver (VQE) has gained popularity as a contender for a chance at quantum advantage with near-term quantum computers. The ansatz, a parameterized circuit that prepares trial states, can dictate the success (or lack thereof) of a VQE. Too deep ansätze can hinder near-term viability, or lead to trainability issues that render the algorithm inefficient. The purpose of this thesis was to analyse different ansätze proposed for quantum chemistry, examining their noise-resilience and viability in state-of-the-art quantum computers. In particular, dynamic ansätze (ADAPT-VQEs) were explored, and the impact of the choice of pool and selection criterion on their performance was analysed.
