:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Afane, Mohamed, Ebbrecht, Gabrielle, Wang, Ying, Chen, Juntao, Farooq, Junaid
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2503.21815
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers
by: Afane, Khalifa, et al.
Published: (2024)

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

Can LLMs Help Allocate Public Health Resources? A Case Study on Childhood Lead Testing
by: Afane, Mohamed, et al.
Published: (2025)

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

Differentiable Architecture Search for Adversarially Robust Quantum Computer Vision
by: Afane, Mohamed, et al.
Published: (2026)

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

Integrated Encoding and Quantization to Enhance Quanvolutional Neural Networks
by: Bosco, Daniele Lizzio, et al.
Published: (2024)

Quantum-Efficient Reinforcement Learning Solutions for Last-Mile On-Demand Delivery
by: Moosavi, Farzan, et al.
Published: (2025)

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

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

Comprehensive Analysis of VQC for Financial Fraud Detection: A Comparative Study of Quantum Encoding Techniques and Architectural Optimizations
by: Abbou, Fouad Mohammed, et al.
Published: (2025)

Vectorized Attention with Learnable Encoding for Quantum Transformer
by: Guo, Ziqing, et al.
Published: (2025)

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

Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent
by: Li, Pingzhi, 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)

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

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

Improved Offline Reinforcement Learning via Quantum Metric Encoding
by: Lv, Outongyi, et al.
Published: (2025)

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

Single-Qudit Quantum Neural Networks for Multiclass Classification
by: Souza, Leandro C., 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)

Feature Entanglement-based Quantum Multimodal Fusion Neural Network
by: Wu, Yu, et al.
Published: (2026)

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)

Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance
by: Hussien, Mostafa, et al.
Published: (2024)

Noise-Agnostic Quantum Error Mitigation with Data Augmented Neural Models
by: Liao, Manwen, et al.
Published: (2023)

Quantum Super-resolution by Adaptive Non-local Observables
by: Lin, Hsin-Yi, et al.
Published: (2026)

Quantum Reinforcement Learning by Adaptive Non-local Observables
by: Lin, Hsin-Yi, et al.
Published: (2025)

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)

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

Magnitude Is All You Need? Rethinking Phase in Quantum Encoding of Complex SAR Data
by: Gunasekar, Sakthi Prabhu, 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)

Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting
by: Liu, Chen-Yu, et al.
Published: (2025)

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