4 papers
Squeezing light to get nonclassical work in quantum engines
A. Tejero, D. Manzano, P. I. Hurtado
Light can be squeezed by reducing the quantum uncertainty of the electric field for some phases. We show how to use this purely quantum effect to extract net mechanical work from r…
Optimizing quantum transport via the quantum Doob transform
Dolores Esteve, Carlos Pérez-Espigares, Ricardo Gutiérrez +1
Quantum transport plays a central role in both fundamental physics and the development of quantum technologies. While significant progress has been made in understanding transport…
Dissipative Quantum Hopfield Network: A numerical analysis
JoaquÃn J. Torres, Daniel Manzano
We present extensive simulations of a quantum version of the Hopfield Neural Network to explore its emergent behavior. The system is a network of qubits oscillating at a given…
Entanglement detection with classical deep neural networks
Julio Ureña, Antonio Sojo, Juani Bermejo +1
In this study, we introduce an autonomous method for addressing the detection and classification of quantum entanglement, a core element of quantum mechanics that has yet to be ful…