Quantum Neural Network with Improved Quantum Learning Algorithm
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Theoretical Physics"
DOI: 10.1007/s10773-020-04470-9
Abstract: We present a quantum BP neural network with the universality of single-qubit rotation gate and two-qubit Controlled-NOT gate. Also, we show the process of the BP learning algorithm for the quantum model, and propose an… read more here.
Keywords: quantum; network improved; quantum neural; neural network ... See more keywords
Backbone Network Traffic Prediction Based on Modified EEMD and Quantum Neural Network
Sign Up to like & getrecommendations! Published in 2018 at "Wireless Personal Communications"
DOI: 10.1007/s11277-018-5292-6
Abstract: Aiming at the long-range dependence and short-range dependence characteristics of backbone network traffic, a traffic forecasting model based on Modified Ensemble Empirical Mode Decomposition (MEEMD) and Quantum Neural Network (QNN) is presented. Firstly, the MEEMD… read more here.
Keywords: traffic; network; quantum neural; prediction ... See more keywords
Training Optimization for Gate-Model Quantum Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-48892-w
Abstract: Gate-based quantum computations represent an essential to realize near-term quantum computer architectures. A gate-model quantum neural network (QNN) is a QNN implemented on a gate-model quantum computer, realized via a set of unitaries with associated… read more here.
Keywords: quantum neural; model quantum; model; gate model ... See more keywords
Quantum neural networks with data re-uploading for urban traffic time series forecasting
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-04546-8
Abstract: Accurate traffic forecasting plays a crucial role in modern Intelligent Transportation Systems (ITS), as it enables real-time traffic flow management, reduces congestion, and improves the overall efficiency of urban transportation networks. With the rise of… read more here.
Keywords: time; forecasting; quantum neural; data uploading ... See more keywords
Quantum neural network-based compensation of distorted orbital angular momentum beams in complex media.
Sign Up to like & getrecommendations! Published in 2025 at "Scientific reports"
DOI: 10.1038/s41598-025-31021-1
Abstract: Quantum computing is emerging as a transformative tool for communication systems, offering the potential to overcome long-standing physical limitations. In free-space optical networks, orbital angular momentum (OAM) multiplexing promises massive capacity gains, but its practical… read more here.
Keywords: angular momentum; orbital angular; compensation; quantum neural ... See more keywords
Quantum neural network with privacy protection of input data and training parameters
Sign Up to like & getrecommendations! Published in 2024 at "Physica Scripta"
DOI: 10.1088/1402-4896/ad2146
Abstract: It takes a lot of computational resources to train a machine learning model. So does quantum machine learning. In the NISQ (Noisy Intermediate Scale Quantum) era, there is a need for users who cannot afford… read more here.
Keywords: protection; privacy; quantum neural; protection input ... See more keywords
Hybrid quantum neural network based on weight remapping and its applications
Sign Up to like & getrecommendations! Published in 2024 at "Physica Scripta"
DOI: 10.1088/1402-4896/ad9ae1
Abstract: In order to explore the possibility of cross-fertilization between quantum computing and neural networks, and to analyse the effects of multiple weight remapping functions on the model performance, this article proposes two hybrid models based… read more here.
Keywords: based weight; weight remapping; neural network; quantum neural ... See more keywords
Quantum neural network classifier with differential privacy
Sign Up to like & getrecommendations! Published in 2025 at "Physica Scripta"
DOI: 10.1088/1402-4896/adb228
Abstract: Quantum neural networks (QNN) hold the potential for quantum advantages but are confronted with privacy leakage risks that could undermine users’ benefits. To address this issue, we propose an enhanced QNN model integrated with differential… read more here.
Keywords: quantum neural; privacy; differential privacy; neural network ... See more keywords
A deep learning framework for time series classification based on multiple imaging and hybrid quantum neural networks
Sign Up to like & getrecommendations! Published in 2023 at "Chinese Physics B"
DOI: 10.1088/1674-1056/accb45
Abstract: Time series classification (TSC) has attracted great attention in time series data mining tasks and has been applied in various fields. With the success of deep learning (DL) in computer vision recognition, people are starting… read more here.
Keywords: time; neural networks; time series; quantum neural ... See more keywords
Using (1+1)D quantum cellular automata for exploring collective effects in large-scale quantum neural networks.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.107.l022102
Abstract: Central to the field of quantum machine learning is the design of quantum perceptrons and neural network architectures. A key question in this regard is the impact of quantum effects on the way such models… read more here.
Keywords: quantum cellular; neural networks; quantum; large scale ... See more keywords
NR-QNN: Noise-Resilient Quantum Neural Network
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3546956
Abstract: Quantum Neural Networks (QNNs) based on parameterized quantum circuits (PQCs) are gaining significant research attention due to their potential to achieve quantum advantages on Near-Term Noisy Intermediate-Scale Quantum (NISQ) computers. However, executing QNNs on NISQ… read more here.
Keywords: quantum; noise resilient; quantum neural; qnn ... See more keywords