Reconstruction of a Photonic Qubit State with Reinforcement Learning

Shang Yu , Francisco Albarrán‐Arriagada , Juan Carlos Retamal , Yi‐Tao Wang
Advanced Quantum Technologies 2 1800074

57
2019
Reconstruction of a Photonic Qubit State with Reinforcement Learning (Adv. Quantum Technol. 7‐8/2019)

Shang Yu , Francisco Albarrán‐Arriagada , Juan Carlos Retamal , Yi‐Tao Wang
Advanced Quantum Technologies 2 1970041

2019
Machine Learning for maximizing the memristivity of single and coupled quantum memristors

Carlos Hernani‐Morales , Gabriel Alvarado , Francisco Albarrán‐Arriagada , Yolanda Vives‐Gilabert
Advanced Quantum Technologies 2300294 -2300294

2024
Embedded quantum correlations in thermalized quantum Rabi systems

M. Ahumada , F. A. C\'ardenas-L\'opez , G. Alvarado Barrios , F. Albarr\'an-Arriagada
Physical Review A 108 ( 1) 012433 -012433

1
2023
Digitized-Adiabatic Quantum Factorization.

Enrique Solano , Koushik Paul , Francisco Albarrán-Arriagada , Narendra N. Hegade
arXiv: Quantum Physics

11
2021
Digitized-counterdiabatic quantum approximate optimization algorithm

Pranav Chandarana , Narendra N Hegade , Koushik Paul , Francisco Albarrán-Arriagada
Physical Review Research 4 ( 1) 013141

23
2022
Portfolio optimization with digitized counterdiabatic quantum algorithms

Narendra N Hegade , Pranav Chandarana , Koushik Paul , Xi Chen
Physical Review Research 4 ( 4) 043204

9
2022
Adaptive random quantum eigensolver

Nancy Barraza , C-Y Pan , Lucas Lamata , Enrique Solano
Physical Review A 105 ( 5) 052406

4
2022
Analog quantum approximate optimization algorithm

Nancy Barraza , Gabriel Alvarado Barrios , Jie Peng , Lucas Lamata
Quantum Science and Technology 7 ( 4) 045035

2022
Entangled quantum memristors

Shubham Kumar , Francisco A Cárdenas-López , Narendra N Hegade , Xi Chen
Physical Review A 104 ( 6) 062605

4
2021
Digital-analog quantum simulation of fermionic models

Lucas C Céleri , Daniel Huerga , Francisco Albarrán-Arriagada , Enrique Solano
Physical Review Applied 19 ( 6) 064086 -064086

13
2023
Quantum pattern recognition in photonic circuits

Rui Wang , Carlos Hernani-Morales , José D Martín-Guerrero , Enrique Solano
Quantum Science and Technology 7 ( 1) 015010 -015010

4
2021
Tunable Non-Markovianity for Bosonic Quantum Memristors

Jia-Liang Tang , Gabriel Alvarado Barrios , Enrique Solano , Francisco Albarrán-Arriagada
Entropy 25 ( 5) 756 -756

3
2023
Single-Layer Digitized-Counterdiabatic Quantum Optimization for $ p $-spin Models

Huijie Guan , Fei Zhou , Francisco Albarrán-Arriagada , Xi Chen
arXiv preprint arXiv:2311.06682

1
2023
Digital-analog quantum computing of fermion-boson models in superconducting circuits

Shubham Kumar , Narendra N Hegade , Enrique Solano , Francisco Albarrán-Arriagada
arXiv preprint arXiv:2308.12040

1
2023
Microwave quantum memcapacitor effect

Xinyu Qiu , Shubham Kumar , Francisco A Cárdenas-López , Gabriel Alvarado Barrios
Communications Materials 5 ( 1) 70 -70

2024
Measurement-based adaptation protocol with quantum reinforcement learning

Lucas Lamata , Francisco Albarrán-Arriagada , Juan Carlos Retamal , Enrique Solano
APS March Meeting Abstracts 2019 E27. 002 -E27. 002

2019
Quantum simulation of entanglement dynamics in a quantum processor

Cristian Inzulza , Sebastián Saavedra-Pino , Francisco Albarrán-Arriagada , Pablo Roman
arXiv preprint arXiv:2311.15973

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
Entropy 25 ( 3) 518 -518

4
2023
Quantum mechanical engine for the quantum rabi model

Gabriel Alvarado Barrios , Francisco J Peña , Francisco Albarrán-Arriagada , Patricio Vargas
Entropy 20 ( 10) 767 -767

13
2018