论文标题
用近距离状态准备量化$ t $ -gate计算改进，以进行基础能量估算
Quantifying $T$-gate-count improvements for ground-state-energy estimation with near-optimal state preparation
论文作者
论文摘要
我们研究了在准备基础状态的额外量子资源时，我们将改善与估计能源相关的总运行时。我们分析了Lin和Tong的近乎最佳状态制备算法，并表明它可以减少运行时的代理，即$ t $ gate的计数，即相邻的基态能量估计。提供了资源估算，以指定国家准备成本值得的条件。
We study the question of when investing additional quantum resources in preparing a ground state will improve the aggregate runtime associated with estimating its energy. We analyze Lin and Tong's near-optimal state preparation algorithm and show that it can reduce a proxy for the runtime, the $T$-gate count, of ground state energy estimation near quadratically. Resource estimates are provided that specify the conditions under which the added cost of state preparation is worthwhile.
