Rodrigo Martínez-Peña

Model-derived causal explanations are inherently constrained by hidden assumptions and context: The example of Baltic cod dynamics position paper

M. Schlüter, V. Grimm, P. Ylikoski, 2022, Environmental Modelling & Software.

Quantum reservoir computing in bosonic networks

Miguel C. Soriano, M. C. Soriano, Roberta Zambrini, 2021, NanoScience + Engineering.

Gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing

Miguel C. Soriano, M. C. Soriano, Roberta Zambrini, 2021, Communications Physics.

Opportunities in Quantum Reservoir Computing and Extreme Learning Machines

Miguel C. Soriano, M. C. Soriano, Roberta Zambrini, 2021, Advanced Quantum Technologies.

Dynamical Phase Transitions in Quantum Reservoir Computing.

M. C. Soriano, R. Zambrini, G. Giorgi, 2021, Physical review letters.

High-Performance Reservoir Computing With Fluctuations in Linear Networks

M. C. Soriano, Miguel C Soriano, Roberta Zambrini, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Analytical evidence of nonlinearity in qubits and continuous-variable quantum reservoir computing

M. C. Soriano, Pere Mujal, R. Zambrini, 2021, Journal of Physics: Complexity.

Quantum reservoir computing in finite dimensions.

J. Ortega, R. Mart'inez-Pena, Rodrigo Martínez-Peña, 2022, Physical review. E.

Time-series quantum reservoir computing with weak and projective measurements

M. C. Soriano, Pere Mujal, R. Zambrini, 2022, npj Quantum Information.

Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems

M. C. Soriano, R. Zambrini, R. Mart'inez-Pena, 2020, Cognitive Computation.