Cover Image

Surrogate Modeling via Factorization Machine and Ising Model with Enhanced Higher-Order Interaction Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Anbang, Cai, Dunbo, Zhang, Yu, Huang, Yangqing, Feng, Xiangyang, Zhang, Zhihong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Achieving High-Quality Portfolio Optimization with the Variational Quantum Eigensolver
by: Wang, Anbang, et al.
Published: (2025)

Enhancing the Scalability of Classical Surrogates for Real-World Quantum Machine Learning Applications
by: Hernicht, Philip Anton, et al.
Published: (2025)

Probabilistic Quantum SVM Training on Ising Machine
by: He, Haoqi, et al.
Published: (2025)

Maximising Quantum-Computing Expressive Power through Randomised Circuits
by: Yang, Yingli, et al.
Published: (2023)

Enhancing the expressivity of quantum neural networks with residual connections
by: Wen, Jingwei, et al.
Published: (2024)

Robust and Efficient Zeroth-Order LLM Fine-Tuning via Adaptive Bayesian Subspace Optimizer
by: Feng, Jian, et al.
Published: (2026)

Quantum Machine Learning via Contrastive Training
by: Zhukas, Liudmila A., et al.
Published: (2025)

Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware
by: Flores-Garrigós, Carlos, et al.
Published: (2026)

Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction
by: Sakhuja, Saiyam, et al.
Published: (2025)

Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach
by: Ai, Xing, et al.
Published: (2022)

Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models
by: Alidaee, Bahram, et al.
Published: (2024)

High-Order Epistasis Detection Using Factorization Machine with Quadratic Optimization Annealing and MDR-Based Evaluation
by: Kikuchi, Shuta, et al.
Published: (2026)

On the Design of Expressive and Trainable Pulse-based Quantum Machine Learning Models
by: Tao, Han-Xiao, et al.
Published: (2025)

Enhanced Photonic Chip Design via Interpretable Machine Learning Techniques
by: Pira, Lirandë, et al.
Published: (2025)

Modeling Higher-Order Brain Interactions via a Multi-View Information Bottleneck Framework for fMRI-based Psychiatric Diagnosis
by: Zhang, Kunyu, et al.
Published: (2026)

Efficient Mutation Testing of Quantum Machine Learning Models
by: Andrews, Emma, et al.
Published: (2026)

Benchmarking Machine Learning Models for Quantum Error Correction
by: Zhao, Yue
Published: (2023)

You Only Measure Once: On Designing Single-Shot Quantum Machine Learning Models
by: Liu, Chen-Yu, et al.
Published: (2025)

Hybrid Quantum Classical Surrogate for Real Time Inverse Finite Element Modeling in Digital Twins
by: Alavi, Azadeh, et al.
Published: (2025)

Hypergraph Pattern Machine: Compositional Tokenization for Higher-Order Interactions
by: Zhao, Kyrie, et al.
Published: (2026)

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization
by: Sun, Yunrui, et al.
Published: (2024)

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers
by: Du, Yuxuan, et al.
Published: (2025)

Noise Models Impacts and Mitigation Strategies in Photonic Quantum Machine Learning
by: Alagiyawanna, A. M. A. S. D., et al.
Published: (2026)

Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions
by: Kim, Minkyu, et al.
Published: (2022)

Subsampling Factorization Machine Annealing
by: Hama, Yusuke, et al.
Published: (2025)

Higher-Order Causal Structure Learning with Additive Models
by: Enouen, James, et al.
Published: (2025)

Surrogate-guided optimization in quantum networks
by: Prielinger, Luise, et al.
Published: (2024)

Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models
by: Shinde, Aakash Ravindra, et al.
Published: (2025)

Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling
by: Rababah, Bara, et al.
Published: (2025)

Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
by: Haug, Tobias, et al.
Published: (2023)

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization
by: Nie, Buqing, et al.
Published: (2025)

Quantum Dynamics of Machine Learning
by: Wang, Peng, et al.
Published: (2024)

Meta-Learning for Quantum Optimization via Quantum Sequence Model
by: Lin, Yu-Cheng, et al.
Published: (2025)

Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling
by: Nousi, Paraskevi, et al.
Published: (2021)

Tetra-AML: Automatic Machine Learning via Tensor Networks
by: Naumov, A., et al.
Published: (2023)

Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors
by: Liao, Wei-You, et al.
Published: (2025)

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning
by: Chen, Chuangtao, et al.
Published: (2025)

HPC-Driven Modeling with ML-Based Surrogates for Magnon-Photon Dynamics in Hybrid Quantum Systems
by: Song, Jialin, et al.
Published: (2025)

Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling
by: Rodríguez-Briones, Nayeli A., et al.
Published: (2025)

Analysis of Higher-Order Ising Hamiltonians
by: Cen, Yunuo, et al.
Published: (2024)