Francisco Albarrán-Arriagada

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Topics

Quantum Computing

Reinforcement Learning

Coloured Petri Nets

Marginal Distributions

Top Venues

Mach. Learn. Sci. Technol.

Publications

Carlos Hernani-Morales, Gabriel Alvarado Barrios, Francisco Albarrán-Arriagada, Yolanda Vives-Gilabert, Enrique Solano, José D. Martín-Guerrero
Machine Learning for maximizing the memristivity of single and coupled quantum memristors. CoRR (2023)
Jia-Liang Tang, Gabriel Alvarado Barrios, Enrique Solano, Francisco Albarrán-Arriagada
Tunable Non-Markovianity for Bosonic Quantum Memristors. Entropy 25 (5) (2023)
Francisco J. Peña, Nathan M. Myers, Daniel Órdenes, Francisco Albarrán-Arriagada, Patricio Vargas
Enhanced Efficiency at Maximum Power in a Fock-Darwin Model Quantum Dot Engine. Entropy 25 (3) (2023)
Rui Wang, Carlos Hernani-Morales, José D. Martín-Guerrero, Enrique Solano, Francisco Albarrán-Arriagada
Quantum Pattern Recognition in Photonic Circuits. CoRR (2021)
Francisco Albarrán-Arriagada, Juan Carlos Retamal, Enrique Solano, Lucas Lamata
Reinforcement learning for semi-autonomous approximate quantum eigensolver. Mach. Learn. Sci. Technol. 1 (1) (2020)
Gabriel Alvarado Barrios, Francisco J. Peña, Francisco Albarrán-Arriagada, Patricio Vargas, Juan Carlos Retamal
Quantum Mechanical Engine for the Quantum Rabi Model. Entropy 20 (10) (2018)
Francisco Albarrán-Arriagada, Juan Carlos Retamal, Enrique Solano, Lucas Lamata
Measurement-based adaptation protocol with quantum reinforcement learning. CoRR (2018)