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Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances
In this paper, we aim to fill this gap by analyzing three Adaptative VQAs: Evolutionary Variational Quantum Eigensolver (EVQE), Variable Ansatz (VAns), already proposed in the literature, and Random Adapt-VQE (RA-VQE), a random approach we introduce as a baseline.
Feature Selection for Classification with QAOA
The removal of redundant and noisy features can improve both the accuracy and scalability of the trained models.
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