Dedalus quantum join order optimizer demo, for fast deployment and demonstration purposes.
-
Updated
May 20, 2026 - Jupyter Notebook
Dedalus quantum join order optimizer demo, for fast deployment and demonstration purposes.
Dedalus: A quantum-classical hybrid query optimizer for relational databases. Formulates join-order optimization as pruned QUBOs for D-Wave QPUs and hybrid annealers with learned, cost-guided dispatch. [VLDB 2027 Artifact]
This repository is a CacheLib prototype of TARDIS, a learned cache eviction policy as part of the LDOS Expeditions project at UT Austin. It implements LRUForgive and S3FIFOForgive with a log-structured multithreaded architecture, and is evaluated against LRU & S3FIFO on real traces to to measure miss-ratio improvement under high eviction pressure.
To associate your repository with the learned-systems topic, visit your repo's landing page and select "manage topics."