ILF: A Quantum Semi-Supervised Learning Approach for Binary Classification (original) (raw)

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Project Report-Quantum Machine Learning

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Supervised Learning Using Quantum Technology

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A Quantum-inspired Version of the Classification Problem

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Classification Problem in a Quantum Framework

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Quantum Clustering with k-Means: a Hybrid Approach

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Classical Equivalent Quantum Unsupervised Learning Algorithms

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Fidelity-based supervised and unsupervised learning for binary classification of quantum states

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Review of some existing QML frameworks and novel hybrid classical–quantum neural networks realising binary classification for the noisy datasets

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Variational Quantum Classifier for Binary Classification: Real vs Synthetic Dataset

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Quantum machine learning for data scientists

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arXiv: Quantum Physics, 2018

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Quantum Ensemble for Classification

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ICCAD Special Session Paper: Quantum-Classical Hybrid Machine Learning for Image Classification

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Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research

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Ananya Pandey

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An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor

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