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E. Torrontegui

43 papers hereh-index 223.2k citations59 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author15
  • middle author22
  • last author4

Across the 41 of 43 papers where every author was matched, so the position is known.

fields
  • quant-ph40
  • cond-mat.quant-gas2
  • physics.atom-ph1
same name
  • E. Torrontegui — 10 papers, h 3
  • E. Torrontegui — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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
Showing 2021Show all

4 papers · 1 filter

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.