Measurement-based adaptation protocol with quantum reinforcement learning. - Francisco Albarrán-Arriagada; Juan Carlos Retamal; Enrique Solano; Lucas Lamata (CoRR, 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)

Reinforcement learning for semi-autonomous approximate quantum eigensolver. - Francisco Albarrán-Arriagada; Juan Carlos Retamal; Enrique Solano; Lucas Lamata (Mach. Learn. Sci. Technol., 2020)

Quantum Pattern Recognition in Photonic Circuits. - Rui Wang; Carlos Hernani-Morales; José D. Martín-Guerrero; Enrique Solano; Francisco Albarrán-Arriagada (CoRR, 2021)

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)

Tunable Non-Markovianity for Bosonic Quantum Memristors. - Jia-Liang Tang; Gabriel Alvarado Barrios; Enrique Solano; Francisco Albarrán-Arriagada (Entropy, 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, 2023)