Published July 1, 2024
| Version v1
Publication
Open
QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest
Authors/Creators
- 1. Global Technology Applied Research, JPMorganChase
Description
This repo contains all the data to reproduce the results shown in the scientific article "QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest" by Romina Yalovetzky, Niraj Kumar, Changhao Li, and Marco Pistoia. Link to arXiv: https://arxiv.org/abs/2406.12008.
We include one Jupyter notebook that shows how to get the figures shown in the paper as well as the results shown in tables. Please refer to the README.md.
Files
qc_forest_benchmark.zip
Files
(270.1 MB)
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md5:b0a705f498cb5821a1267204ff2caf4e
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