Basic protocols in quantum reinforcement learning with superconducting circuits
Abstract Superconducting circuit technologies have recently achieved quantum protocols involving closed feedback loops. Quantum artificial intelligence and quantum machine learning are emerging fields inside quantum technologies which may enable quantum devices to acquire information from the outer...
Guardado en:
Autor principal: | Lucas Lamata |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0f9615527a5f4c62889f5fac8ed08319 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Transferring arbitrary d-dimensional quantum states of a superconducting transmon qudit in circuit QED
por: Tong Liu, et al.
Publicado: (2017) -
Heisenberg-limited single-mode quantum metrology in a superconducting circuit
por: W. Wang, et al.
Publicado: (2019) -
Quantum interference in heterogeneous superconducting-photonic circuits on a silicon chip
por: C. Schuck, et al.
Publicado: (2016) -
Efficient modeling of superconducting quantum circuits with tensor networks
por: Agustin Di Paolo, et al.
Publicado: (2021) -
Probing the strongly driven spin-boson model in a superconducting quantum circuit
por: L. Magazzù, et al.
Publicado: (2018)