Development and Training of Quantum Neural Networks, Based on the Principles of Grover's Algorithm

Pronin, Cesar Borisovich; Ostroukh, Andrey Vladimirovich

doi:10.48550/arxiv.2110.01443

Cited by 1 publication

(1 citation statement)

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“…In this section, we explore the QVP with the Grover algorithm, which is a novel approach that draws inspiration from existing works [37][38][39][40], and synergizes Grover's quantum search capabilities with the flexibility of a QVP. This combination aims to achieve quantum-enhanced classification, potentially offering exponential speedup and improved resilience to noise.…”

Section: Quantum Variational Perceptron With Grover Algorithmmentioning

confidence: 99%

A variational quantum perceptron with Grover’s algorithm for efficient classification

Innan,

Bennai

2024

Phys. Scr.

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This study introduces the Quantum Variational Perceptron with Grover's Algorithm (QVP-G), an innovative Quantum Machine Learning (QML) model significantly enhancing binary classification tasks' capabilities. The study goes beyond theoretical constructs, employing empirical evaluations of QVP-G on the well-established Iris and more complex breast cancer datasets. This dual-dataset approach highlights the model's adaptability and effectiveness in varied contexts.Our experimental findings reveal the exceptional accuracy of QVP-G, achieving a remarkable 99\% success rate. This superior performance is owed mainly to integrating Grover's algorithm, a cornerstone in Quantum Computing (QC), which substantially increases the probability of accurately determining the correct classification hyperplane.Beyond academic interest, our research positions QVP-G as a powerful tool with substantial practical applications. Its utility ranges from enhancing fraud detection and improving spam filtering to expediting drug discovery and contributing to advances in physics research.This study marks a significant advancement in QML, reinforcing the bridge between QC and machine learning.

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Section: Quantum Variational Perceptron With Grover Algorithmmentioning

confidence: 99%