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Found 7 papers, 0 papers with code
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Parameterized Quantum Circuits (PQCs) have been acknowledged as a leading strategy to utilize near-term quantum advantages in multiple problems, including machine learning and combinatorial optimization.
Quantum Visual Feature Encoding Revisited
Although quantum machine learning has been introduced for a while, its applications in computer vision are still limited.
QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering
In addition, we present QClusformer, a variant based on the Transformer architecture, tailored for unsupervised vision clustering tasks.
Quantum Vision Clustering
Unsupervised visual clustering has garnered significant attention in recent times, aiming to characterize distributions of unlabeled visual images through clustering based on a parameterized appearance approach.
Fairness in Visual Clustering: A Novel Transformer Clustering Approach
Promoting fairness for deep clustering models in unsupervised clustering settings to reduce demographic bias is a challenging goal.
Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning
In this work, we present a novel method to tackle the problem of missing annotation in instance segmentation in 2D quantum material identification.
Defining Quantum Neural Networks via Quantum Time Evolution
This work presents a novel fundamental algorithm for for defining and training Neural Networks in Quantum Information based on time evolution and the Hamiltonian.
