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2020 – today
- 2024
[i16]Aleix Llenas, Lucas Lamata:
A digital-analog quantum genetic algorithm using Rydberg atom arrays. CoRR abs/2407.09308 (2024)- [i15]Lucas Lamata:
Digital-Analog Quantum Machine Learning. CoRR abs/2411.10744 (2024) - 2023
- [j9]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): 323 (2023) - [c2]José D. Martín-Guerrero, Lucas Lamata, Thomas Villmann:
Quantum Artificial Intelligence: A tutorial. ESANN 2023 - [i14]Lucas Lamata:
Quantum Machine Learning Implementations: Proposals and Experiments. CoRR abs/2303.06263 (2023) - 2022
- [j8]José David Martín-Guerrero, Lucas Lamata:
Quantum Machine Learning: A tutorial. Neurocomputing 470: 457-461 (2022) - [j7]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): 159-171 (2022) - [i13]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 abs/2201.00817 (2022) - 2021
- [j6]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) - [j5]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): 68 (2021) - 2020
- [j4]Francisco Albarrán-Arriagada, Juan Carlos Retamal, Enrique Solano, Lucas Lamata:
Reinforcement learning for semi-autonomous approximate quantum eigensolver. Mach. Learn. Sci. Technol. 1(1): 15002 (2020) - [j3]Lucas Lamata:
Quantum machine learning and quantum biomimetics: A perspective. Mach. Learn. Sci. Technol. 1(3): 33002 (2020) - [c1]José David Martín-Guerrero, Lucas Lamata:
Quantum Machine Learning. ESANN 2020: 257-266 - [i12]Lucas Lamata:
Quantum machine learning and quantum biomimetics: A perspective. CoRR abs/2004.12076 (2020) - [i11]Farbod Khoshnoud, Lucas Lamata, Clarence W. de Silva, Marco B. Quadrelli:
Quantum Teleportation for Control of Dynamic Systems and Autonomy. CoRR abs/2007.15249 (2020)
2010 – 2019
- 2019
- [j2]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): 372 (2019) - [j1]Lucas Lamata:
Symmetry in Quantum Optics Models. Symmetry 11(10): 1310 (2019) - 2018
- [i10]Francisco Albarrán-Arriagada, Juan Carlos Retamal, Enrique Solano, Lucas Lamata:
Measurement-based adaptation protocol with quantum reinforcement learning. CoRR abs/1803.05340 (2018) - [i9]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 abs/1806.08706 (2018) - [i8]Yongcheng Ding, Lucas Lamata, Mikel Sanz, Xi Chen, Enrique Solano:
Experimental Implementation of a Quantum Autoencoder via Quantum Adders. CoRR abs/1807.10643 (2018) - [i7]J. Olivares-Sánchez, J. Casanova, Enrique Solano, Lucas Lamata:
Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer. CoRR abs/1811.07594 (2018) - 2017
- [i6]Lucas Lamata:
Basic protocols in quantum reinforcement learning with superconducting circuits. CoRR abs/1701.05131 (2017) - [i5]Lucas Lamata, Unai Alvarez-Rodriguez, José David Martín-Guerrero, Mikel Sanz, Enrique Solano:
Quantum Autoencoders via Quantum Adders with Genetic Algorithms. CoRR abs/1709.07409 (2017) - [i4]Mikel Sanz, Lucas Lamata, Enrique Solano:
Quantum Memristors in Quantum Photonics. CoRR abs/1709.07808 (2017) - [i3]Francisco A. Cárdenas-López, Lucas Lamata, Juan Carlos Retamal, Enrique Solano:
Generalized Quantum Reinforcement Learning with Quantum Technologies. CoRR abs/1709.07848 (2017) - [i2]Unai Alvarez-Rodriguez, Mikel Sanz, Lucas Lamata, Enrique Solano:
Quantum Artificial Life in an IBM Quantum Computer. CoRR abs/1711.09442 (2017) - 2016
- [i1]Unai Alvarez-Rodriguez, Lucas Lamata, Pablo Escandell-Montero, José David Martín-Guerrero, Enrique Solano:
Quantum Machine Learning without Measurements. CoRR abs/1612.05535 (2016)
Coauthor Index
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