QHyper: an integration library for hybrid quantum-classical optimization

Justyna Zawalska; Kacper Jurek; Katarzyna Rycerz; Mariusz Sterzel; Tomasz Lam\.za

QHyper: an integration library for hybrid quantum-classical optimization

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arxiv 2409.15926 v1 pith:RQXSJUEO submitted 2024-09-24 cs.MS

QHyper: an integration library for hybrid quantum-classical optimization

Tomasz Lam\.za , Justyna Zawalska , Kacper Jurek , Mariusz Sterzel , Katarzyna Rycerz This is my paper

classification cs.MS

keywords libraryoptimizationsolverscombinatorialqhyperquantumaimedalgorithms

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We propose the QHyper library, which is aimed at researchers working on computational experiments with a variety of quantum combinatorial optimization solvers. The library offers a simple and extensible interface for formulating combinatorial optimization problems, selecting and running solvers, and optimizing hyperparameters. The supported solver set includes variational gate-based algorithms, quantum annealers, and classical solutions. The solvers can be combined with provided local and global (hyper)optimizers. The main features of the library are its extensibility on different levels of use as well as a straightforward and flexible experiment configuration format presented in the paper.

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A NISQ-Aware Hybrid Quantum-Classical Framework for Scalable Combinatorial Optimization
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A NISQ-aware framework decomposes combinatorial optimization into qubit-limited subproblems solved via quantum genetic algorithms with embedded amplitude amplification, claiming better performance than baselines espec...