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researcher

Y. Ban

51 papers hereh-index 201.1k citations78 works total

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

author position
  • sole author1
  • first author15
  • middle author24
  • last author11

Across the 51 of 51 papers where every author was matched, so the position is known.

fields
  • quant-ph39
  • cond-mat.mes-hall8
  • cond-mat.dis-nn1
  • cond-mat.quant-gas1
  • cs.ET1
  • physics.optics1
same name
  • Y. Ban — 405 papers
  • Y. Ban — 324 papers, h 0
  • Y. Ban — 278 papers, h 33
  • Y. Ban — 164 papers, h 32
  • Y. Ban — 111 papers, h 4
  • Y. Ban — 102 papers, h 10

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
20092026
most citedElectronic analogy of Goos-Hänchen effect: a review

98 citations · 960 across the 51 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

quant-ph2020★ 14 cited

Neural-network-based parameter estimation for quantum detection

Yue Ban, Javier Echanobe, Yongcheng Ding +2

Artificial neural networks bridge input data into output results by approximately encoding the function that relates them. This is achieved after training the network with a collec…

quant-ph2020★ 49 cited

Breaking Adiabatic Quantum Control with Deep Learning

Yongcheng Ding, Yue Ban, José D. Martín-Guerrero +3

In the era of digital quantum computing, optimal digitized pulses are requisite for efficient quantum control. This goal is translated into dynamic programming, in which a deep rei…

quant-ph2020★ 14 cited

Robust Detection of High-Frequency Signals at the Nanoscale

Carlos Munuera-Javaloy, Yue Ban, Xi Chen +1

We present a method relying on shortcuts to adiabaticity to achieve quantum detection of high frequency signals at the nanoscale in a robust manner. More specifically, our protocol…

quant-ph2020★ 19 cited

Speed-up Quantum Perceptron via Shortcuts to Adiabaticity

Yue Ban, Xi Chen, E. Torrontegui +2

The quantum perceptron is a fundamental building block for quantum machine learning. This is a multidisciplinary field that incorporates abilities of quantum computing, such as sta…

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