Francisco Albarrán-Arriagada

According to our database, Francisco Albarrán-Arriagada authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Enhanced Efficiency at Maximum Power in a Fock-Darwin Model Quantum Dot Engine.

Francisco J. Peña, Nathan M. Myers, Daniel Órdenes, Francisco Albarrán-Arriagada, Patricio Vargas

Entropy, March, 2023

Tunable Non-Markovianity for Bosonic Quantum Memristors.

Jia-Liang Tang, Gabriel Alvarado Barrios, Enrique Solano, Francisco Albarrán-Arriagada

Entropy, 2023

Machine Learning for maximizing the memristivity of single and coupled quantum memristors.

Carlos Hernani-Morales, Gabriel Alvarado Barrios, Francisco Albarrán-Arriagada, Yolanda Vives-Gilabert, Enrique Solano, José D. Martín-Guerrero

CoRR, 2023

2021

Quantum Pattern Recognition in Photonic Circuits.

Rui Wang, Carlos Hernani-Morales, José D. Martín-Guerrero, Enrique Solano, Francisco Albarrán-Arriagada

CoRR, 2021

2020

Reinforcement learning for semi-autonomous approximate quantum eigensolver.

Francisco Albarrán-Arriagada, Juan Carlos Retamal, Enrique Solano, Lucas Lamata

Mach. Learn. Sci. Technol., 2020

2018

Quantum Mechanical Engine for the Quantum Rabi Model.

Gabriel Alvarado Barrios, Francisco J. Peña, Francisco Albarrán-Arriagada, Patricio Vargas, Juan Carlos Retamal

Entropy, 2018

Measurement-based adaptation protocol with quantum reinforcement learning.

Francisco Albarrán-Arriagada, Juan Carlos Retamal, Enrique Solano, Lucas Lamata

CoRR, 2018