Lucas Lamata

According to our database, Lucas Lamata authored at least 24 papers between 2016 and 2024.

Collaborative distances:

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

2024

A digital-analog quantum genetic algorithm using Rydberg atom arrays.

Aleix Llenas, Lucas Lamata

CoRR, 2024

2023

Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer.

Yongcheng Ding, Javier Gonzalez-Conde, Lucas Lamata, José D. Martín-Guerrero, Enrique Lizaso, Samuel Mugel, Xi Chen, Román Orús, Enrique Solano, Mikel Sanz

Entropy, February, 2023

Quantum Machine Learning Implementations: Proposals and Experiments.

Lucas Lamata

CoRR, 2023

Quantum Artificial Intelligence: A tutorial.

José D. Martín-Guerrero, Lucas Lamata, Thomas Villmann

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats.

Eduardo R. Miranda, Satvik Venkatesh, José D. Martín-Guerrero, Carlos Hernani-Morales, Lucas Lamata, Enrique Solano

Int. J. Unconv. Comput., 2022

Quantum Machine Learning: A tutorial.

José David Martín-Guerrero, Lucas Lamata

Neurocomputing, 2022

2021

Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design.

Yongcheng Ding, Xi Chen, Lucas Lamata, Enrique Solano, Mikel Sanz

SN Comput. Sci., 2021

Quantum teleportation for control of dynamical Systems and Autonomy.

Farbod Khoshnoud, Lucas Lamata, Clarence W. de Silva, Marco B. Quadrelli

Mechatron. Syst. Control., 2021

2020

Quantum machine learning and quantum biomimetics: A perspective.

Lucas Lamata

Mach. Learn. Sci. Technol., 2020

Reinforcement learning for semi-autonomous approximate quantum eigensolver.

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

Mach. Learn. Sci. Technol., 2020

Quantum Teleportation for Control of Dynamic Systems and Autonomy.

Farbod Khoshnoud, Lucas Lamata, Clarence W. de Silva, Marco B. Quadrelli

CoRR, 2020

Quantum Machine Learning.

José David Martín-Guerrero, Lucas Lamata

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Symmetry in Quantum Optics Models.

Lucas Lamata

Symmetry, 2019

Parity-Assisted Generation of Nonclassical States of Light in Circuit Quantum Electrodynamics.

Francisco A. Cárdenas-López, Guillermo Romero, Lucas Lamata, Enrique Solano, Juan Carlos Retamal

Symmetry, 2019

2018

Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer.

J. Olivares-Sánchez, J. Casanova, Enrique Solano, Lucas Lamata

CoRR, 2018

Experimental Implementation of a Quantum Autoencoder via Quantum Adders.

Yongcheng Ding, Lucas Lamata, Mikel Sanz, Xi Chen, Enrique Solano

CoRR, 2018

Quantum computing cryptography: Unveiling cryptographic Boolean functions with quantum annealing.

Feng Hu, Lucas Lamata, Mikel Sanz, Xi Chen, Xingyuan Chen, Chao Wang, Enrique Solano

CoRR, 2018

Measurement-based adaptation protocol with quantum reinforcement learning.

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

CoRR, 2018

2017

Quantum Artificial Life in an IBM Quantum Computer.

Unai Alvarez-Rodriguez, Mikel Sanz, Lucas Lamata, Enrique Solano

CoRR, 2017

Generalized Quantum Reinforcement Learning with Quantum Technologies.

Francisco A. Cárdenas-López, Lucas Lamata, Juan Carlos Retamal, Enrique Solano

CoRR, 2017

Quantum Memristors in Quantum Photonics.

Mikel Sanz, Lucas Lamata, Enrique Solano

CoRR, 2017

Quantum Autoencoders via Quantum Adders with Genetic Algorithms.

Lucas Lamata, Unai Alvarez-Rodriguez, José David Martín-Guerrero, Mikel Sanz, Enrique Solano

CoRR, 2017

Basic protocols in quantum reinforcement learning with superconducting circuits.

Lucas Lamata

CoRR, 2017

2016

Quantum Machine Learning without Measurements.

Unai Alvarez-Rodriguez, Lucas Lamata, Pablo Escandell-Montero, José David Martín-Guerrero, Enrique Solano

CoRR, 2016