Mikel Sanz

According to our database, Mikel Sanz authored at least 21 papers between 2010 and 2023.

Collaborative distances:

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

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

Random access codes via quantum contextual redundancy.

Giancarlo Gatti, Daniel Huerga, Enrique Solano, Mikel Sanz

Quantum, January, 2023

Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic.

Mikel Garcia de Andoin, Alberto Bottarelli, Sebastian Schmitt, Izaskun Oregi, Philipp Hauke, Mikel Sanz

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Forecasting Election Polls with Spin Systems.

Rubén Ibarrondo, Mikel Sanz, Román Orús

SN Comput. Sci., 2022

Coplanar Antenna Design for Microwave Entangled Signals Propagating in Open Air.

Tasio Gonzalez-Raya, Mikel Sanz

Quantum, 2022

Quantum vs classical genetic algorithms: A numerical comparison shows faster convergence.

Rubén Ibarrondo, Giancarlo Gatti, Mikel Sanz

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Comparative Benchmark of a Quantum Algorithm for the Bin Packing Problem.

Mikel Garcia de Andoin, Izaskun Oregi, Esther Villar-Rodriguez, Eneko Osaba, Mikel Sanz

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Hybrid quantum-classical heuristic for the bin packing problem.

Mikel Garcia de Andoin, Eneko Osaba, Izaskun Oregi, Esther Villar-Rodriguez, Mikel Sanz

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 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

2020

Quantized Three-Ion-Channel Neuron Model for Neural Action Potentials.

Tasio Gonzalez-Raya, Enrique Solano, Mikel Sanz

Quantum, 2020

Perceptrons from memristors.

Francisco Silva, Mikel Sanz, João Seixas, Enrique Solano, Yasser Omar

Neural Networks, 2020

2018

Quantized Hodgkin-Huxley Model for Quantum Neurons.

Xiao-Hang Cheng, Tasio Gonzalez-Raya, Xi Chen, Mikel Sanz, Enrique Solano

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

Kolmogorov-Sinai entropy and dissipation in driven classical Hamiltonian systems.

Matheus Capela, Mikel Sanz, Enrique Solano, Lucas C. Céleri

CoRR, 2018

Analog simulator of integro-differential equations with classical memristors.

Gabriel Alvarado Barrios, Juan Carlos Retamal, Enrique Solano, Mikel Sanz

CoRR, 2018

2017

Quantum Artificial Life in an IBM Quantum Computer.

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

CoRR, 2017

Enhanced Quantum Synchronization via Quantum Machine Learning.

Francisco A. Cárdenas-López, Mikel Sanz, 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

2010

A quantum version of Wielandt's inequality.

Mikel Sanz, David Pérez-García, Michael M. Wolf, J. Ignacio Cirac

IEEE Trans. Inf. Theory, 2010