Lucas Lamata

Orcid: 0000-0002-9504-8685

According to our database1, Lucas Lamata authored at least 24 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A digital-analog quantum genetic algorithm using Rydberg atom arrays.
CoRR, 2024

2023
Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer.
Entropy, February, 2023

Quantum Machine Learning Implementations: Proposals and Experiments.
CoRR, 2023

Quantum Artificial Intelligence: A tutorial.
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.
Int. J. Unconv. Comput., 2022

Quantum Machine Learning: A tutorial.
Neurocomputing, 2022

2021
Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design.
SN Comput. Sci., 2021

Quantum teleportation for control of dynamical Systems and Autonomy.
Mechatron. Syst. Control., 2021

2020
Quantum machine learning and quantum biomimetics: A perspective.
Mach. Learn. Sci. Technol., 2020

Reinforcement learning for semi-autonomous approximate quantum eigensolver.
Mach. Learn. Sci. Technol., 2020

Quantum Teleportation for Control of Dynamic Systems and Autonomy.
CoRR, 2020

Quantum Machine Learning.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Symmetry in Quantum Optics Models.
Symmetry, 2019

Parity-Assisted Generation of Nonclassical States of Light in Circuit Quantum Electrodynamics.
Symmetry, 2019

2018
Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer.
CoRR, 2018

Experimental Implementation of a Quantum Autoencoder via Quantum Adders.
CoRR, 2018

Quantum computing cryptography: Unveiling cryptographic Boolean functions with quantum annealing.
CoRR, 2018

Measurement-based adaptation protocol with quantum reinforcement learning.
CoRR, 2018

2017
Quantum Artificial Life in an IBM Quantum Computer.
CoRR, 2017

Generalized Quantum Reinforcement Learning with Quantum Technologies.
CoRR, 2017

Quantum Memristors in Quantum Photonics.
CoRR, 2017

Quantum Autoencoders via Quantum Adders with Genetic Algorithms.
CoRR, 2017

Basic protocols in quantum reinforcement learning with superconducting circuits.
CoRR, 2017

2016
Quantum Machine Learning without Measurements.
CoRR, 2016


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