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researcher

Asel Sagingalieva

3 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • quant-ph2
  • cs.LG1
ORCID 0009-0009-3931-3702

identity via Semantic Scholar / OpenAlex

most citedHybrid quantum neural network for drug response prediction

115 citations · 162 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025

Hybrid quantum recurrent neural network for remaining useful life prediction of turbofan engines

Olga Tsurkan, Aleksandra Konstantinova, Arsenii Senokosov +2

Accurate remaining useful life (RUL) estimation underpins safe operation and cost-effective maintenance of aerospace propulsion systems. We propose a Hybrid Quantum Recurrent Neura…

quant-ph2022★ 47 cited

Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms

Mohammad Kordzanganeh, Markus Buchberger, Basil Kyriacou +7

Powerful hardware services and software libraries are vital tools for quickly and affordably designing, testing, and executing quantum algorithms. A robust large-scale study of how…

quant-ph2022★ 115 cited

Hybrid quantum neural network for drug response prediction

Asel Sagingalieva, Mohammad Kordzanganeh, Nurbolat Kenbayev +3

Cancer is one of the leading causes of death worldwide. It is caused by a variety of genetic mutations, which makes every instance of the disease unique. Since chemotherapy can hav…

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