Aug 8, 2019 · Here, we evaluate the optimization of quantum heuristics with an existing class of techniques called meta-learners.

Apr 13, 2021 · Here, we evaluate the optimization of quantum heuristics with an existing class of techniques called “meta-learners.”

Aug 29, 2024 · Variational quantum algorithms, a class of quantum heuristics, are promising candidates for the demonstration of useful quantum computation.

Evidence that indicates the meta-learner trained on small problems will generalize to larger problems is presented, an important indication that ...

We compare the performance of a meta-learner to Bayesian optimization, evolutionary strategies, L-BFGS-B and Nelder-Mead approaches, for two quantum heuristics ...

AbstractVariational quantum algorithms, a class of quantum heuristics, are promising candidates for the demonstration of useful quantum computation.

Aug 1, 2024 · In this work, we propose a new methodology to study the effectiveness of QA based on meta-learning models.

Optimizing quantum heuristics with meta-learning. M Wilson, R Stromswold, F Wudarski, S Hadfield, NM Tubman, EG Rieffel. Quantum Machine Intelligence 3, 1-14, ...

Meta-heuristic algorithms with quantum based approach are suitable for global optimization and find a good solution to hypothesis due to its capacity of ...

The major contribution of the paper is the optimization of the extracted features using quantum-inspired meta-heuristic algorithms of QGA (Quantum-Inspired ...