What does a book look like to a quantum computer? This paper takes eight classical works of the Renaissance and its late-antique inheritance -- from Augustine to Galileo -- and runs each through a neutral-atom quantum processor. The bridge is graphs: each textual unit becomes an atom, and graph edges are physical blockade constraints for engineered exact unit-disk designs, or a 2D approximation to the semantic graph for natural texts. Three contributions follow. First, we introduce rigidity rho, a metric for how unique a book's structural backbone is -- distinguishing Marguerite de Navarre's Heptameron (rigid, twelve-nouvelle hard core) from Boethius (fully fungible, every chapter substitutable). Second, we invert the pipeline: rather than extracting a graph from existing prose, we pick a target graph the hardware encodes natively, and write a book whose structure matches it. The twenty-nine texts written this way, collected under the name QOuLiPo, extend the OuLiPo tradition to graph-topological constraints and, together with the eight natural texts, form a benchmark distribution against which neutral-atom hardware can be tracked as it scales. Third, we run both natural and engineered texts on Pasqal's FRESNEL processor up to one hundred atoms; engineered texts reach high approximation ratios, the cleanest instances returning the exact backbone. A cloud-accessible quantum machine plus an agentic coding environment now lets a single investigator run this pipeline end-to-end. What is reported is an application layer, not a speedup -- humanistic instances ready to load onto neutral-atom processors as they scale, already complementing classical text analysis. The Digital Humanities community has a stake in building familiarity with this hardware now: the engineered-corpus design choices made today fix the benchmark distribution future hardware will be measured against.

翻译：一本书在量子计算机眼中是什么样子？本文将文艺复兴时期的八部经典著作——从奥古斯丁到伽利略——及其晚期古典传承，逐一输入中性原子量子处理器进行处理。其桥梁是图结构：每个文本单元对应一个原子，图边缘则是物理阻断约束——对于工程设计的确切单位圆盘设计，或对于自然文本而言，是语义图的二维近似。本文有三个贡献。首先，我们引入刚性度ρ这一度量，用于衡量一本书结构骨架的独特性——将玛格丽特·德·纳瓦尔的《七日谈》（刚性，十二篇故事核心稳固）与波爱修斯（完全可替换，每个章节均可替代）区分开来。其次，我们反转了处理流程：不再从现有散文中提取图结构，而是选择硬件原生编码的目标图，并撰写一部结构与之匹配的书籍。以此方式撰写的二十九篇文本，以“QUILiPo”之名汇集成册，将乌利波传统拓展至图拓扑约束，并与八部自然文本共同构成一个基准分布，用以追踪中性原子硬件随规模扩展的表现。第三，我们将自然文本与工程设计文本均运行在Pasqal的FRESNEL处理器上，原子数高达一百个；工程设计文本达到了高近似比，最纯净的实例返回了确切骨架。借助云端可访问的量子机器与智能编码环境，单名研究者即可端到端地完成此流程。本文所报告的是一个应用层，而非速度提升——面向人文学科的实例已准备好加载到规模扩展中的中性原子处理器上，并已能补充经典的文本分析方法。数字人文学界目前有理由熟悉这一硬件：今天对工程化语料库的设计选择，将固定未来硬件衡量时所依据的基准分布。