Search Results for author:
Found 7 papers, 1 papers with code
A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity
In this study, we concentrate on quantum deep learning and introduce a collaborative classical-quantum architecture called co-TenQu.
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation
However, learning a robust representation from numerous unlabeled images remains challenging due to potential noise in pseudo labels and insufficient class separability in feature space, which undermines the performance of current semi-supervised segmentation approaches.
QuCNN : A Quantum Convolutional Neural Network with Entanglement Based Backpropagation
Quantum Machine Learning continues to be a highly active area of interest within Quantum Computing.
GenQu: A Hybrid Framework for Learning Classical Data in Quantum States
In this paper, we propose GenQu, a hybrid and general-purpose quantum framework for learning classical data through quantum states.
Quantum-Inspired Classical Algorithm for Principal Component Regression
In this work, we developed an algorithm for principal component regression that runs in time polylogarithmic to the number of data points, an exponential speed up over the state-of-the-art algorithm, under the mild assumption that the input is given in some data structure that supports a norm-based sampling procedure.
The Intrinsic Properties of Brain Based on the Network Structure
The dynamic of the equation set can be described by some basic equations, which is based on the mathematical derivation.
