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Found 7 papers, 2 papers with code
Application of Quantum Pre-Processing Filter for Binary Image Classification with Small Samples
Similar to our previous multi-class classification results, the application of QPF improved the binary image classification accuracy using neural network against MNIST, EMNIST, and CIFAR-10 from 98. 9% to 99. 2%, 97. 8% to 98. 3%, and 71. 2% to 76. 1%, respectively, but degraded it against GTSRB from 93. 5% to 92. 0%.
Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models
This paper proposes a novel quantum pre-processing filter (QPF) to improve the image classification accuracy of neural network (NN) models.
Quantum Natural Language Processing based Sentiment Analysis using lambeq Toolkit
Sentiment classification is one the best use case of classical natural language processing (NLP) where we can witness its power in various daily life domains such as banking, business and marketing industry.
Optimal partition of feature using Bayesian classifier
The Naive Bayesian classifier is a popular classification method employing the Bayesian paradigm.
Hybrid Quantum Generative Adversarial Networks for Molecular Simulation and Drug Discovery
In molecular research, simulation \& design of molecules are key areas with significant implications for drug development, material science, and other fields.
Variational Quantum Algorithms for Chemical Simulation and Drug Discovery
A moderate protein has about 100 amino acids, and the number of combinations one needs to verify to find the stable structure is enormous.
Clustering using Vector Membership: An Extension of the Fuzzy C-Means Algorithm
We also examine the efficacy of the proposed scheme by analyzing its performance on image segmentation examples and comparing it with the classical Fuzzy C-means clustering algorithm.
