构建可原生运行量子计算的数据库，提升量子与经典混合执行效率。
Qute: Towards Quantum-Native Database
- 将扩展SQL编译为高效量子电路，支持量子原生执行。
- 在真实量子处理器上，大规模任务性能超越经典基线。
- 适合量子计算初学者及数据库与量子结合研究者。
本文提出量子原生数据库Qute，将量子计算视为首要执行选项。不同于以往在经典机上模拟量子算法或改造传统数据库以支持量子仿真，Qute创新性地（一）将扩展版SQL编译为门高效的量子电路；（二）采用混合优化器动态选择量子或经典执行计划；（三）引入选择性量子索引；（四）设计保真度存储机制，缓解当前量子比特约束。同时提出三阶段演进路线图。在真实量子处理器origin_wukong上部署Qute，结果表明其在大规模场景下性能优于经典基线，并开源原型至https://github.com/weAIDB/Qute。
原文摘要 · Abstract (English)
This paper envisions a quantum database (Qute) that treats quantum computation as a first-class execution option. Unlike prior simulation-based methods that either run quantum algorithms on classical machines or adapt existing databases for quantum simulation, Qute instead (i) compiles an extended form of SQL into gate-efficient quantum circuits, (ii) employs a hybrid optimizer to dynamically select between quantum and classical execution plans, (iii) introduces selective quantum indexing, and (iv) designs fidelity-preserving storage to mitigate current qubit constraints. We also present a three-stage evolution roadmap toward quantum-native database. Finally, by deploying Qute on a real quantum processor (origin_wukong), we show that it outperforms a classical baseline at scale, and we release an open-source prototype at https://github.com/weAIDB/Qute.
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