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

Fuente: arXiv
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Auteurs principaux: Singh, Navneet, Pokhrel, Shiva Raj
Format: Preprint
Publié: 2024
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author Singh, Navneet
Pokhrel, Shiva Raj
author_facet Singh, Navneet
Pokhrel, Shiva Raj
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2405_09781
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle An Independent Implementation of Quantum Machine Learning Algorithms in Qiskit for Genomic Data
Singh, Navneet
Pokhrel, Shiva Raj
Machine Learning
Artificial Intelligence
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.
title An Independent Implementation of Quantum Machine Learning Algorithms in Qiskit for Genomic Data
topic Machine Learning
Artificial Intelligence
url https://arxiv.org/abs/2405.09781