{"repo":"OpenDataBox/Qute","free":true,"listed":false,"github":"https://github.com/OpenDataBox/Qute","clone":"git clone https://github.com/OpenDataBox/Qute.git","description":"Towards Quantum-Native Database","language":"Python","stars":14,"topics":["database","quantum-computing"],"license":null,"category":"databases-storage","readme_excerpt":"Qute Qute is a prototype quantum database that treats quantum computation as a first-class execution option rather than a simulation-only extension of classical systems. Instead of running quantum algorithms on classical simulators or retrofitting existing databases for simulated workloads, Qute focuses on real-device execution and system-level integration. At a high level, Qute: 1. Compiles an extended SQL form into gate-efficient quantum circuits. 2. Uses a hybrid optimizer to choose between quantum and classical execution plans at runtime. 3. Introduces selective quantum indexing for low-selectivity query patterns. 4. Applies fidelity-preserving storage design under current qubit constraints. The project is deployed on the real origin wukong quantum processor. This repository contains the open-source prototype and an experiment workflow for low-selectivity equality search using a Grover-style kernel compiled to U3 + CZ . Purpose The current prototype in this repository provides a reproducible workflow for low-selectivity equality search experiments: 1. Build a plan from CSV datasets. 2. Probe device bit ordering. 3. Submit Grover circuits to the real backend. 4. Aggregate latency and hit metrics into one merged JSON report. The implementation uses a block-search strategy ( block bits , default 4 ) and fixed Grover iteration count ( 1 ) to stay within hardware depth constraints. Repository Structure - 01 build low selectivity plan.py : Build the experiment plan JSON from da","default_branch":null,"files":null,"tree":[],"storefront":"/r/OpenDataBox","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/OpenDataBox/Qute/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}