面向形式酸分析的经典与量子方法
Towards Analyzing Formic Acid Using Classical and Quantum Methods
AI总结：
本文探讨利用经典与量子方法分析形式酸，提出结合量子启发和经典工具以减少碳足迹，重点介绍变分量子特征求解器在分子电子结构分析中的应用。
摘要：
催化碳固定生成形式酸对研究碳足迹减少和生命起源具有重要意义。离散量子穷举搜索与其它方法结合能否减少碳足迹？本文建议融合量子、量子启发和经典工具以更好地模拟相关过程。量子工具常用于分析分子电子结构，有时因经典计算机无法扩展轨道数而受限，而未来量子计算机可能近似可扩展。使用变分量子特征求解器（VQE）可能在近期解决，但主要障碍是希尔伯特空间中出现的 barren plateaus。本文利用基本工具并引入新的离散量子穷举搜索，该方法依赖于互不偏倚的基底，用于分析最简单的非催化过程，涉及二氧化碳、氢气和形式酸。
英文摘要：
Catalytic carbon fixation to formic acid is important for studying the reduction of carbon footprint and the emergence of life. Can discrete quantum exhaustive search merged with other methods help reduce the carbon footprint? We suggest merging quantum, quantum inspired, and classical tools for a better simulation of various relevant processes. Quantum tools are often used for analyzing the electronic structure of molecules, sometimes because this problem is not scalable (in the number of orbitals) on classical computers while it is potentially approximately scalable on (future) quantum computers. It is potentially even solvable in the near future using variational quantum eigensolvers (VQE) yet a major obstacle to such analysis is the appearance of barren plateaus in the Hilbert space describing the problem. Here we make use of the basic (standard) tools while also including a novel one -- the discrete quantum exhaustive search, which relies on mutually unbiased bases, for analyzing the simplest non-catalytic process involving carbon dioxide, hydrogen and formic acid.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
