Lucas Lamata

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Quantum Computing

Dynamical Systems

Reinforcement Learning

Artificial Life

Top Venues

Mach. Learn. Sci. Technol.

Publications

Aleix Llenas, Lucas Lamata
A digital-analog quantum genetic algorithm using Rydberg atom arrays. CoRR (2024)
Lucas Lamata
Quantum Machine Learning Implementations: Proposals and Experiments. CoRR (2023)
José D. Martín-Guerrero, Lucas Lamata, Thomas Villmann
Quantum Artificial Intelligence: A tutorial. ESANN (2023)
Yongcheng Ding, Javier Gonzalez-Conde, Lucas Lamata, José D. Martín-Guerrero, Enrique Lizaso, Samuel Mugel, Xi Chen, Román Orús, Enrique Solano, Mikel Sanz
Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer. Entropy 25 (2) (2023)
Eduardo Reck Miranda, Satvik Venkatesh, José David Martín-Guerrero, Carlos Hernani-Morales, Lucas Lamata, Enrique Solano
An approach to interfacing the brain with quantum computers: practical steps and caveats. CoRR (2022)
José David Martín-Guerrero, Lucas Lamata
Quantum Machine Learning: A tutorial. Neurocomputing 470 (2022)
Eduardo R. Miranda, Satvik Venkatesh, José D. Martín-Guerrero, Carlos Hernani-Morales, Lucas Lamata, Enrique Solano
An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats. Int. J. Unconv. Comput. 17 (3) (2022)
Yongcheng Ding, Xi Chen, Lucas Lamata, Enrique Solano, Mikel Sanz
Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design. SN Comput. Sci. 2 (1) (2021)
Farbod Khoshnoud, Lucas Lamata, Clarence W. de Silva, Marco B. Quadrelli
Quantum teleportation for control of dynamical Systems and Autonomy. Mechatron. Syst. Control. 49 (3) (2021)
Lucas Lamata
Quantum machine learning and quantum biomimetics: A perspective. CoRR (2020)
José David Martín-Guerrero, Lucas Lamata
Quantum Machine Learning. ESANN (2020)
Francisco Albarrán-Arriagada, Juan Carlos Retamal, Enrique Solano, Lucas Lamata
Reinforcement learning for semi-autonomous approximate quantum eigensolver. Mach. Learn. Sci. Technol. 1 (1) (2020)
Farbod Khoshnoud, Lucas Lamata, Clarence W. de Silva, Marco B. Quadrelli
Quantum Teleportation for Control of Dynamic Systems and Autonomy. CoRR (2020)
Lucas Lamata
Quantum machine learning and quantum biomimetics: A perspective. Mach. Learn. Sci. Technol. 1 (3) (2020)
Lucas Lamata
Symmetry in Quantum Optics Models. Symmetry 11 (10) (2019)
Francisco A. Cárdenas-López, Guillermo Romero, Lucas Lamata, Enrique Solano, Juan Carlos Retamal
Parity-Assisted Generation of Nonclassical States of Light in Circuit Quantum Electrodynamics. Symmetry 11 (3) (2019)
Francisco Albarrán-Arriagada, Juan Carlos Retamal, Enrique Solano, Lucas Lamata
Measurement-based adaptation protocol with quantum reinforcement learning. CoRR (2018)
Feng Hu, Lucas Lamata, Mikel Sanz, Xi Chen, Xingyuan Chen, Chao Wang, Enrique Solano
Quantum computing cryptography: Unveiling cryptographic Boolean functions with quantum annealing. CoRR (2018)
Yongcheng Ding, Lucas Lamata, Mikel Sanz, Xi Chen, Enrique Solano
Experimental Implementation of a Quantum Autoencoder via Quantum Adders. CoRR (2018)
J. Olivares-Sánchez, J. Casanova, Enrique Solano, Lucas Lamata
Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer. CoRR (2018)
Unai Alvarez-Rodriguez, Mikel Sanz, Lucas Lamata, Enrique Solano
Quantum Artificial Life in an IBM Quantum Computer. CoRR (2017)
Francisco A. Cárdenas-López, Lucas Lamata, Juan Carlos Retamal, Enrique Solano
Generalized Quantum Reinforcement Learning with Quantum Technologies. CoRR (2017)
Lucas Lamata, Unai Alvarez-Rodriguez, José David Martín-Guerrero, Mikel Sanz, Enrique Solano
Quantum Autoencoders via Quantum Adders with Genetic Algorithms. CoRR (2017)
Mikel Sanz, Lucas Lamata, Enrique Solano
Quantum Memristors in Quantum Photonics. CoRR (2017)
Lucas Lamata
Basic protocols in quantum reinforcement learning with superconducting circuits. CoRR (2017)
Unai Alvarez-Rodriguez, Lucas Lamata, Pablo Escandell-Montero, José David Martín-Guerrero, Enrique Solano
Quantum Machine Learning without Measurements. CoRR (2016)