Copertina

A Collaborative Framework for Quantum Optimisation and Quantum Neural Networks: Credit Feature Selection and Image Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Long, JiaNing, Liang, Xuechen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Quantum Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Selective Feature Re-Encoded Quantum Convolutional Neural Network with Joint Optimization for Image Classification
di: Sarkar, Shaswata Mahernob, et al.
Pubblicazione: (2025)

Variational Quantum Eigensolver for Classification in Credit Sales Risk
di: Wiśniewska, Joanna, et al.
Pubblicazione: (2023)

IQNN-CS: Interpretable Quantum Neural Network for Credit Scoring
di: Khan, Abdul Samad, et al.
Pubblicazione: (2025)

Hybrid Vision Transformer and Quantum Convolutional Neural Network for Image Classification
di: Wang, Mingzhu, et al.
Pubblicazione: (2025)

Credit Default Prediction with Projected Quantum Feature Models and Ensembles
di: Ferenczi, Andras, et al.
Pubblicazione: (2025)

Quantum Phases Classification Using Quantum Machine Learning with SHAP-Driven Feature Selection
di: Franco, Giovanni S., et al.
Pubblicazione: (2025)

Quantum Sinusoidal Neural Networks
di: Wen, Zujin, et al.
Pubblicazione: (2024)

Hybrid Quantum-Classical Neural Networks for Few-Shot Credit Risk Assessment
di: Wang, Zheng-an, et al.
Pubblicazione: (2025)

A Deterministic Framework for Neural Network Quantum States in Quantum Chemistry
di: Che, Zheng
Pubblicazione: (2026)

Hybrid Quantum-Classical Convolutional Neural Networks for Image Classification in Multiple Color Spaces
di: Ng, Kwok-Ho, et al.
Pubblicazione: (2024)

Hybrid Quantum-Classical Feature Extraction approach for Image Classification using Autoencoders and Quantum SVMs
di: Slabbert, Donovan, et al.
Pubblicazione: (2024)

Hybrid Genetic Optimisation for Quantum Feature Map Design
di: Pellow-Jarman, Rowan, et al.
Pubblicazione: (2023)

Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification
di: Aizpurua, Borja, et al.
Pubblicazione: (2025)

Scalable Quantum Optimisation using HADOF: Hamiltonian Auto-Decomposition Optimisation Framework
di: Sankar, Namasi G, et al.
Pubblicazione: (2025)

HQCNN: A Hybrid Quantum-Classical Neural Network for Medical Image Classification
di: Shahjalal, et al.
Pubblicazione: (2025)

Feature Map for Quantum Data in Classification
di: Kwon, Hyeokjea, et al.
Pubblicazione: (2023)

Pulsar Classification: Comparing Quantum Convolutional Neural Networks and Quantum Support Vector Machines
di: Slabbert, Donovan, et al.
Pubblicazione: (2023)

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection
di: Sie, Ming-Fong, et al.
Pubblicazione: (2024)

Analog Quantum Feature Selection with Neutral-Atom Quantum Processors
di: Orquin-Marques, Jose J., et al.
Pubblicazione: (2025)

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

A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification
di: Wu, Sheng-Yao, et al.
Pubblicazione: (2024)

Image Classification by Throwing Quantum Kitchen Sinks at Tensor Networks
di: Kodama, Nathan X., et al.
Pubblicazione: (2022)

Non-variational Quantum Combinatorial Optimisation
di: Bennett, Tavis, et al.
Pubblicazione: (2024)

Inferring Quantum Network Topologies using Genetic Optimisation of Indirect Measurements
di: Campbell, Conall J., et al.
Pubblicazione: (2025)

Towards Quantum Optimised Malware Containment
di: Sutcliffe, Matthew, et al.
Pubblicazione: (2026)

Benchmarking Quantum Convolutional Neural Networks for Classification and Data Compression Tasks
di: Khoo, Jun Yong, et al.
Pubblicazione: (2024)

Quantum Random Features: A Spectral Framework for Quantum Machine Learning
di: Sakurai, Akitada, et al.
Pubblicazione: (2026)

Quantum Convolutional Neural Network: A Hybrid Quantum-Classical Approach for Iris Dataset Classification
di: Tomal, S. M. Yousuf Iqbal, et al.
Pubblicazione: (2024)

A Mixture-of-Experts Framework for Practical Hybrid-Quantum Models in Credit Card Fraud Detection
di: Chaves, Rodrigo, et al.
Pubblicazione: (2026)

Dual-Qubit Hierarchical Fuzzy Neural Network for Image Classification: Enabling Relational Learning via Quantum Entanglement
di: Zhang, Wenwei, et al.
Pubblicazione: (2025)

NRQNN: The Role of Observable Selection in Noise-Resilient Quantum Neural Networks
di: Kashif, Muhammad, et al.
Pubblicazione: (2025)

Out of the Loop: Structural Approximation of Optimisation Landscapes and non-Iterative Quantum Optimisation
di: Krüger, Tom, et al.
Pubblicazione: (2024)

HQFNN: A Compact Quantum-Fuzzy Neural Network for Accurate Image Classification
di: Yao, Jianhong, et al.
Pubblicazione: (2025)

Quantum Image Classification: Experiments on Utility-Scale Quantum Computers
di: Gharibyan, Hrant, et al.
Pubblicazione: (2025)

QMetric: Benchmarking Quantum Neural Networks Across Circuits, Features, and Training Dimensions
di: Illésová, Silvie, et al.
Pubblicazione: (2025)

Quantum Annealing Feature Selection on Light-weight Medical Image Datasets
di: Nau, Merlin A., et al.
Pubblicazione: (2025)

Feature Prediction in Quantum Graph Recurrent Neural Networks with Applications in Information Hiding
di: Kaldari, Jawaher, et al.
Pubblicazione: (2025)

Distributed Quantum Neural Networks via Partitioned Features Encoding
di: Kawase, Yoshiaki
Pubblicazione: (2023)

Pulse Quality Optimisation in Quantum Optimal Control
di: Lewis, Dylan, et al.
Pubblicazione: (2026)

Quantum Approximate Optimisation for Not-All-Equal SAT
di: El-Kadi, Andrew, et al.
Pubblicazione: (2024)