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ORCIDFrancisco Albarrán-Arriagada
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Journal Articles
- 2023
[j4]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): 518 (2023)- [j3]Jia-Liang Tang, Gabriel Alvarado Barrios, Enrique Solano, Francisco Albarrán-Arriagada:
Tunable Non-Markovianity for Bosonic Quantum Memristors. Entropy 25(5): 756 (2023) - 2020
- [j2]Francisco Albarrán-Arriagada, Juan Carlos Retamal, Enrique Solano, Lucas Lamata:
Reinforcement learning for semi-autonomous approximate quantum eigensolver. Mach. Learn. Sci. Technol. 1(1): 15002 (2020) - 2018
- [j1]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): 767 (2018)
Informal and Other Publications
- 2023
- [i3]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 abs/2309.05062 (2023) - 2021
- [i2]Rui Wang, Carlos Hernani-Morales, José D. Martín-Guerrero, Enrique Solano, Francisco Albarrán-Arriagada:
Quantum Pattern Recognition in Photonic Circuits. CoRR abs/2107.09961 (2021) - 2018
- [i1]Francisco Albarrán-Arriagada, Juan Carlos Retamal, Enrique Solano, Lucas Lamata:
Measurement-based adaptation protocol with quantum reinforcement learning. CoRR abs/1803.05340 (2018)
Coauthor Index
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