Cargando…
Quantum generative adversarial learning in a superconducting quantum circuit
Generative adversarial learning is one of the most exciting recent breakthroughs in machine learning. It has shown splendid performance in a variety of challenging tasks such as image and video generation. More recently, a quantum version of generative adversarial learning has been theoretically pro...
Autores principales: | Hu, Ling, Wu, Shu-Hao, Cai, Weizhou, Ma, Yuwei, Mu, Xianghao, Xu, Yuan, Wang, Haiyan, Song, Yipu, Deng, Dong-Ling, Zou, Chang-Ling, Sun, Luyan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357722/ https://www.ncbi.nlm.nih.gov/pubmed/30746476 http://dx.doi.org/10.1126/sciadv.aav2761 |
Ejemplares similares
-
Deep quantum neural networks on a superconducting processor
por: Pan, Xiaoxuan, et al.
Publicado: (2023) -
A twofold quantum delayed-choice experiment in a superconducting circuit
por: Liu, Ke, et al.
Publicado: (2017) -
Universal adversarial examples and perturbations for quantum
classifiers
por: Gong, Weiyuan, et al.
Publicado: (2021) -
Superconducting quantum circuit of NOR in quantum annealing
por: Saida, Daisuke, et al.
Publicado: (2022) -
Quantum Memristors with Superconducting Circuits
por: Salmilehto, J., et al.
Publicado: (2017)