:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Yu, Zhou, Qianli, Geng, Jie, Deng, Xinyang, Jiang, Wen
Format:	Preprint
Published:	2026
Subjects:	Quantum Physics Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2601.07856
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification
by: Chen, Yixiong, et al.
Published: (2024)

QiNN-QJ: A Quantum-inspired Neural Network with Quantum Jump for Multimodal Sentiment Analysis
by: Chen, Yiwei, et al.
Published: (2025)

Parallel Multi-Circuit Quantum Feature Fusion in Hybrid Quantum-Classical Convolutional Neural Networks for Breast Tumor Classification
by: Yurtseven, Ece
Published: (2025)

What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement
by: Alexander, Yotam, et al.
Published: (2023)

Quantum Optimization for Training Quantum Neural Networks
by: Liao, Yidong, et al.
Published: (2021)

Quantum Information Fusion and Correction with Dempster-Shafer Structure
by: Zhou, Qianli, et al.
Published: (2024)

Graph Neural Networks on Quantum Computers
by: Liao, Yidong, et al.
Published: (2024)

Quantum automated learning with provable and explainable trainability
by: Ye, Qi, et al.
Published: (2025)

Exact and Asymptotically Complete Robust Verifications of Neural Networks via Quantum Optimization
by: Li, Wenxin, et al.
Published: (2026)

Single-Qudit Quantum Neural Networks for Multiclass Classification
by: Souza, Leandro C., et al.
Published: (2025)

Adaptive Non-local Observable on Quantum Neural Networks
by: Lin, Hsin-Yi, et al.
Published: (2025)

Regression and Classification with Single-Qubit Quantum Neural Networks
by: Souza, Leandro C., et al.
Published: (2024)

The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
by: Freinberger, Dominik, et al.
Published: (2026)

Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
by: Jaouni, Tareq, et al.
Published: (2023)

Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
by: Qi, Jun, et al.
Published: (2024)

Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks
by: Kyriacou, Basil, et al.
Published: (2026)

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks
by: Kumar, Rahul, et al.
Published: (2025)

Diagonal Adaptive Non-local Observables on Quantum Neural Networks
by: Tseng, Huan-Hsin, et al.
Published: (2026)

Financial Fraud Detection using Quantum Graph Neural Networks
by: Innan, Nouhaila, et al.
Published: (2023)

Iterative Quantum Feature Maps
by: Matsumoto, Nasa, et al.
Published: (2025)

Quantum Entanglement as Super-Confounding: From Bell's Theorem to Robust Machine Learning
by: Kang, Pilsung
Published: (2025)

Do Quantum Neural Networks have Simplicity Bias?
by: Pointing, Jessica
Published: (2024)

Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networks
by: Murota, Keisuke, et al.
Published: (2025)

Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits
by: Kölle, Michael, et al.
Published: (2025)

ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
by: Afane, Mohamed, et al.
Published: (2025)

On Emergences of Non-Classical Statistical Characteristics in Classical Neural Networks
by: Zhao, Hanyu, et al.
Published: (2026)

Quantitative Evaluation of Quantum/Classical Neural Network Using a Game Solver Metric
by: Kamei, Suzukaze, et al.
Published: (2025)

ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks
by: Kashif, Muhammad, et al.
Published: (2024)

Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images
by: Chang, Su Yeon, et al.
Published: (2023)

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
by: Hasan, Mohammad Junayed, et al.
Published: (2023)

Hybrid Quantum-Classical Recurrent Neural Networks
by: Xu, Wenduan
Published: (2025)

Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent
by: Li, Pingzhi, et al.
Published: (2024)

Generative Invertible Quantum Neural Networks
by: Rousselot, Armand, et al.
Published: (2023)

HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks
by: He, Haoqi, et al.
Published: (2025)

Rethink the Role of Neural Decoders in Quantum Error Correction
by: Yan, Ge, et al.
Published: (2026)

Quantum Machine Learning-based 6G edge Network: Enabling Adaptive Communication and Model Aggregation
by: Xiao, Wenjing, et al.
Published: (2026)

Guided Graph Compression for Quantum Graph Neural Networks
by: Casals, Mikel, et al.
Published: (2025)

Quantum-Enhanced Generative Adversarial Networks: Comparative Analysis of Classical and Hybrid Quantum-Classical Generative Adversarial Networks
by: Goh, Kun Ming
Published: (2025)

Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation
by: Gu, Andi, et al.
Published: (2026)

Unifying O(3) Equivariant Neural Networks Design with Tensor-Network Formalism
by: Li, Zimu, et al.
Published: (2022)