activity
20102023
most citedShortcuts to adiabaticity: concepts, methods, and applications

1.1k citations · 4.1k across the 42 of their papers we have counts for

collaborators

43 papers

quant-ph2023

Characterization of the photon emission statistics in nitrogen-vacancy centers

Iván Panadero, Hilario Espinós, Lucas Tsunaki +7

We model and experimentally demonstrate the full time-dependent counting statistics of photons emitted by a single nitrogen-vacancy (NV) center in diamond under non-resonant laser…

quant-ph2022★ 2 cited

Quantum control of tunable-coupling transmons using dynamical invariants of motion

Hilario Espinós, Iván Panadero, Juan José García-Ripoll +1

We analyse the implementation of a fast nonadiabatic CZ gate between two transmon qubits with tuneable coupling. The gate control method is based on a theory of dynamical invariant…

quant-ph2021★ 2 cited

Realization of a quantum perceptron gate with trapped ions

P. Huber, J. Haber, P. Barthel +3

We report the implementation of a perceptron quantum gate in an ion-trap quantum computer. In this scheme, a perceptron's target qubit changes its state depending on the interactio…

quant-ph2021★ 2 cited

Tailored Ion Beam for Precise Color Center Creation

A. Tobalina, C. Munuera-Javaloy, E. Torrontegui +2

We present a unitary quantum control scheme that produces a highly monochromatic ion beam from a Paul trap. Our protocol is implementable by supplying the segmented electrodes with…

quant-ph2021

Mutual Reinforcement between Neural Networks and Quantum Physics

Yue Ban, Javier Echanobe, Erik Torrontegui +1

Quantum machine learning emerges from the symbiosis of quantum mechanics and machine learning. In particular, the latter gets displayed in quantum sciences as: (i) the use of class…

quant-ph2021★ 4 cited

Quantum neural networks with multi-qubit potentials

Yue Ban, E. Torrontegui, J. Casanova

We propose quantum neural networks that include multi-qubit interactions in the neural potential leading to a reduction of the network depth without losing approximative power. We…