mlsanityData to 14 Oct 2026

An Independent Implementation of Quantum Machine Learning Algorithms in Qiskit for Genomic Data

arXiv 2405.09781 ↗First posted 16 May 2024cs.LG cs.AIcited by 1

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Abstract (arXiv)

In this paper, we explore the power of Quantum Machine Learning as we extend, implement and evaluate algorithms like Quantum Support Vector Classifier (QSVC), Pegasos-QSVC, Variational Quantum Circuits (VQC), and Quantum Neural Networks (QNN) in Qiskit with diverse feature mapping techniques for genomic sequence classification.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 5 references that are in the map. First posted on arXiv 16 May 2024.

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2 of 5 references.

References · 2

  1. 2020The power of quantum neural networkscited by 379
  2. 2024Quantum Federated Learning Experiments in the Cloud with Data Encodingcited by 7

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Citing papers per year: 2025: 1.

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  1. 2025Component Based Quantum Machine Learning Explainabilitycited by 0