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OA期刊


ISSN2524-4906
刊名Quantum Machine Intelligence
出版商Springer
urlhttps://link.springer.com/journal/42484/aims-and-scope



全部

2021 2022 2023 2024 2025

2023, vol.5, no.1 2023, vol.5, no.2

题名作者出版年年卷期
Subtleties in the trainability of quantum machine learning modelsSupanut Thanasilp;Samson Wang;Nhat Anh Nghiem;Patrick Coles;Marco Cerezo;20232023, vol.5, no.1
Boosting the performance of quantum annealers using machine learningJure Brence;Dragan Mihailović;Viktor V. Kabanov;Ljupčo Todorovski;Sašo Džeroski;Jaka Vodeb;20232023, vol.5, no.1
Equivariant quantum graph circuits: constructions for universal approximation over graphsPéter Mernyei;Konstantinos Meichanetzidis;İsmail İlkan Ceylan;20232023, vol.5, no.1
Decohering tensor network quantum machine learning modelsHaoran Liao;Ian Convy;Zhibo Yang;K. Birgitta Whaley;20232023, vol.5, no.1
Quantum density peak clusteringDuarte Magano;Lorenzo Buffoni;Yasser Omar;20232023, vol.5, no.1
Policy gradients using variational quantum circuitsAndré Sequeira;Luis Paulo Santos;Luis Soares Barbosa;20232023, vol.5, no.1
Quantum pattern recognition on real quantum processing unitsSreetama Das;Jingfu Zhang;Stefano Martina;Dieter Suter;Filippo Caruso;20232023, vol.5, no.1
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learningFrancesco Di Marcantonio;Massimiliano Incudini;Davide Tezza;Michele Grossi;20232023, vol.5, no.1
Feature selection on quantum computersSascha Mücke;Raoul Heese;Sabine Müller;Moritz Wolter;Nico Piatkowski;20232023, vol.5, no.1



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