AUTOmated QUBO Generator is an automatic tool for converting a high-level description of an optimization problem, written in Python, into an equivalent QUBO representation. It is doing this by using a novel data driven translation method that can completely decouple the input and output representation.
This repository acts as a companion to our publications:
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Alberto Moraglio, Serban Georgescu, and Przemysław Sadowski. 2022. AutoQubo: Data-driven automatic QUBO generation. In Genetic and Evolutionary Computation Conference Companion (GECCO ’22 Companion), July 9–13, 2022, Boston, MA, USA. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3520304.3533965
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Justin Pauckert, Mayowa Ayodele, Marcos Diez García, Serban Georgescu, and Matthieu Parizy. 2023. AutoQUBO v2: Towards Efficient and Effective QUBO Formulations for Ising Machines. In Genetic and Evolutionary Computation Conference Companion (GECCO ’23 Companion), July 15–19, 2023, Lisbon, Portugal. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3583133.3590662
install autoqubo as package:
pip install autoqubo
If you find our work useful, please cite the paper below:
@inproceedings{10.1145/3520304.3533965,
author = {Moraglio, Alberto and Georgescu, Serban and Sadowski, Przemys{\l}aw},
title = {AutoQubo: Data-driven Automatic QUBO Generation},
year = {2022},
isbn = {978-1-4503-9268-6/22/07},
publisher = {Association for Computing Machinery},
doi = {10.1145/3520304.3533965},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
series = {GECCO '22}
}