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Analog simulator of integro-differential equations with classical memristors
In this work, by adding memristors to the electrical network, we show that the analog computer can simulate a large variety of linear and nonlinear integro-differential equations by carefully choosing the conductance and the dynamics of the memristor state variable.
Quantum Artificial Life in an IBM Quantum Computer
We present the first experimental realization of a quantum artificial life algorithm in a quantum computer.
Enhanced Quantum Synchronization via Quantum Machine Learning
By using a digital-analog decomposition of the master equation that rules the system dynamics, we show that this approach leads to quantum synchronization between both two-level systems.
Quantum Memristors in Quantum Photonics
We propose a method to build quantum memristors in quantum photonic platforms.
Quantum autoencoders via quantum adders with genetic algorithms
The quantum autoencoder is a recent paradigm in the field of quantum machine learning, which may enable an enhanced use of resources in quantum technologies.
