Francisco Albarrán-Arriagada
Francisco Albarrán-Arriagada
Departamento de Física, Universidad de Santiago de Chile
Dirección de correo verificada de usach.cl
TítuloCitado porAño
Measurement-based adaptation protocol with quantum reinforcement learning
F Albarrán-Arriagada, JC Retamal, E Solano, L Lamata
Physical Review A 98 (4), 042315, 2018
232018
Role of quantum correlations in light-matter quantum heat engines
GA Barrios, F Albarrán-Arriagada, FA Cárdenas-López, G Romero, ...
Physical Review A 96 (5), 052119, 2017
112017
Reconstruction of a photonic qubit state with reinforcement learning
S Yu, F Albarrán‐Arriagada, JC Retamal, YT Wang, W Liu, ZJ Ke, Y Meng, ...
Advanced Quantum Technologies 2 (7-8), 1800074, 2019
82019
One-way quantum computing in superconducting circuits
F Albarrán-Arriagada, GA Barrios, M Sanz, G Romero, L Lamata, ...
Physical Review A 97 (3), 032320, 2018
82018
Spin-1 models in the ultrastrong-coupling regime of circuit QED
F Albarrán-Arriagada, L Lamata, E Solano, G Romero, JC Retamal
Physical Review A 97 (2), 022306, 2018
62018
Incoherent-mediator for quantum state transfer in the ultrastrong coupling regime
FA Cárdenas-López, F Albarrán-Arriagada, GA Barrios, JC Retamal, ...
Scientific reports 7 (1), 1-10, 2017
52017
Generation of higher dimensional entangled states in quantum Rabi systems
F Albarrán-Arriagada, GA Barrios, FA Cárdenas-López, G Romero, ...
Journal of Physics A: Mathematical and Theoretical 50 (18), 184001, 2017
52017
Quantum mechanical engine for the quantum Rabi model
G Alvarado Barrios, FJ Peña, F Albarrán-Arriagada, P Vargas, ...
Entropy 20 (10), 767, 2018
32018
Generation of maximally correlated states of (d⊗ d)-dimensional systems in the absence of entanglement
CE López, F Albarrán-Arriagada, S Allende, JC Retamal
EPL (Europhysics Letters) 120 (1), 10003, 2017
32017
Reconstruction of a Photonic Qubit State with Quantum Reinforcement Learning
S Yu, F Albarran-Arriagada, JC Retamal, YT Wang, W Liu, ZJ Ke, Y Meng, ...
arXiv preprint arXiv:1808.09241, 2018
22018
Reconstruction of a Photonic Qubit State with Reinforcement Learning (Adv. Quantum Technol. 7‐8/2019)
S Yu, F Albarrán‐Arriagada, JC Retamal, YT Wang, W Liu, ZJ Ke, Y Meng, ...
Advanced Quantum Technologies 2 (7-8), 1970041, 2019
2019
Reinforcement learning for semi-autonomous approximate quantum eigensolver
F Albarrán-Arriagada, JC Retamal, E Solano, L Lamata
arXiv preprint arXiv:1906.06702, 2019
2019
Measurement-based adaptation protocol with quantum reinforcement learning
L Lamata, F Albarrán-Arriagada, JC Retamal, E Solano
APS Meeting Abstracts, 2019
2019
Isoenergetic cycle for the quantum Rabi model
G Alvarado Barrios, FJ Peña, F Albarrán-Arriagada, P Vargas, ...
arXiv preprint arXiv:1803.08083, 2018
2018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–14