mlsanityData to 7 Oct 2026

Simulation of a Variational Quantum Perceptron using Grover's Algorithm

arXiv 2305.11040 ↗First posted 18 May 2023quant-ph cs.AI cs.LGcited by 12

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Abstract (arXiv)

The quantum perceptron, the variational circuit, and the Grover algorithm have been proposed as promising components for quantum machine learning. This paper presents a new quantum perceptron that combines the quantum variational circuit and the Grover algorithm. However, this does not guarantee that this quantum variational perceptron with Grover's algorithm (QVPG) will have any advantage over its quantum variational (QVP) and classical counterparts. Here, we examine the performance of QVP and QVP-G by computing their loss function and analyzing their accuracy on the classification task, then comparing these two quantum models to the classical perceptron (CP). The results show that our two quantum models are more efficient than CP, and our novel suggested model QVP-G outperforms the QVP, demonstrating that the Grover can be applied to the classification task and even makes the model more accurate, besides the unstructured search problems.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 6 of its 51 references that are in the map. First posted on arXiv 18 May 2023.

Builds on

6 of 51 references.

References · 6

  1. 2020Variational Quantum Algorithmscited by 687
  2. 2020The effect of data encoding on the expressive power of variational quantum machine learning modelscited by 328
  3. 2016Quantum Perceptron Modelscited by 27
  4. 2020Hybrid quantum-classical classifier based on tensor network and variational quantum circuitcited by 26
  5. 2018A Grover-search Based Quantum Learning Scheme for Classificationcited by 12
  6. 2013Autonomous Quantum Perceptron Neural Networkcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 5; 2026: 3.

12 papers.

  1. 2024QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detectioncited by 18
  2. 2024Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detectioncited by 10
  3. 2024LEP-QNN: Loan Eligibility Prediction using Quantum Neural Networkscited by 8
  4. 2024MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryptioncited by 7
  5. 2025A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detectioncited by 7
  6. 2025QFAL: Quantum Federated Adversarial Learningcited by 5
  7. 2025Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogatescited by 3
  8. 2025RobQFL: Robust Quantum Federated Learning in Adversarial Environmentcited by 2
  9. 2026Quantum vs. Classical Machine Learning: A Benchmark Study for Financial Predictioncited by 2
  10. 2025Quantum-Enhanced Weight Optimization for Neural Networks Using Grover's Algorithmcited by 1
  11. 2026Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learningcited by 1
  12. 2026Hybrid Quantum-Classical Neural Architecture Searchcited by 1