Neural QAOA$^{2}$: Differentiable Joint Graph Partitioning and Parameter Initialization for Quantum Combinatorial Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Zubin, Wu, Jiahao, Liu, Shengcai |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable Parameter Design for Superconducting Quantum Circuits with Graph Neural Networks
by: Ai, Hao, et al.
Published: (2024)
by: Ai, Hao, et al.
Published: (2024)
QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits
by: Tyagin, Ilya, et al.
Published: (2025)
by: Tyagin, Ilya, et al.
Published: (2025)
Infeasibility Aware Large Language Models for Combinatorial Optimization
by: Wang, Yakun, et al.
Published: (2026)
by: Wang, Yakun, et al.
Published: (2026)
QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems
by: Osaba, Eneko, et al.
Published: (2024)
by: Osaba, Eneko, et al.
Published: (2024)
Quantum Grid Path Planning Using Parallel QAOA Circuits Based on Minimum Energy Principle
by: Liu, Jun
Published: (2025)
by: Liu, Jun
Published: (2025)
Learning to Learn with Quantum Optimization via Quantum Neural Networks
by: Chen, Kuan-Cheng, et al.
Published: (2025)
by: Chen, Kuan-Cheng, et al.
Published: (2025)
Reinforcement Learning Assisted Recursive QAOA
by: Patel, Yash J., et al.
Published: (2022)
by: Patel, Yash J., et al.
Published: (2022)
Optimal FALQON for Quantum Approximate Optimization via Layer-wise Parameter Tuning
by: Mancini, Michael, et al.
Published: (2026)
by: Mancini, Michael, et al.
Published: (2026)
Partitioned-Constraint QAOA (PC-QAOA): Structural State Preparation and Penalty Enforcement for Quantum Optimization
by: Wilkie, Anthony, et al.
Published: (2025)
by: Wilkie, Anthony, et al.
Published: (2025)
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)
A technical note for the 91-clauses SAT resolution with Indirect QAOA based approach
by: Fleury, Gerard, et al.
Published: (2024)
by: Fleury, Gerard, et al.
Published: (2024)
Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning
by: Pastor, Arnau, et al.
Published: (2024)
by: Pastor, Arnau, et al.
Published: (2024)
Breaking QAOA's Fixed Target Hamiltonian Barrier: A Fully Connected Quantum Boltzmann Machine via Bilevel Optimization
by: Liu, Jun
Published: (2026)
by: Liu, Jun
Published: (2026)
Graph Neural Networks on Quantum Computers
by: Liao, Yidong, et al.
Published: (2024)
by: Liao, Yidong, et al.
Published: (2024)
Quantum Optimization for Training Quantum Neural Networks
by: Liao, Yidong, et al.
Published: (2021)
by: Liao, Yidong, et al.
Published: (2021)
Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing
by: Wang, Zhehui, et al.
Published: (2025)
by: Wang, Zhehui, et al.
Published: (2025)
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness
by: Qian, Yang, et al.
Published: (2024)
by: Qian, Yang, et al.
Published: (2024)
Differentially Private Federated Quantum Learning via Quantum Noise
by: Pokharel, Atit, et al.
Published: (2025)
by: Pokharel, Atit, et al.
Published: (2025)
Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
by: Jaouni, Tareq, et al.
Published: (2023)
by: Jaouni, Tareq, et al.
Published: (2023)
Financial Fraud Detection using Quantum Graph Neural Networks
by: Innan, Nouhaila, et al.
Published: (2023)
by: Innan, Nouhaila, et al.
Published: (2023)
Quantum Optimization Algorithms
by: Stein, Jonas, et al.
Published: (2025)
by: Stein, Jonas, et al.
Published: (2025)
A Spatio-Temporal Hybrid Quantum-Classical Graph Convolutional Neural Network Approach for Urban Taxi Destination Prediction
by: Zhang, Xiuying, et al.
Published: (2025)
by: Zhang, Xiuying, et al.
Published: (2025)
Circuit Partitioning Using Large Language Models for Quantum Compilation and Simulations
by: Sinha, Pranav, et al.
Published: (2025)
by: Sinha, Pranav, et al.
Published: (2025)
Q-DIVER: Integrated Quantum Transfer Learning and Differentiable Quantum Architecture Search with EEG Data
by: Park, Junghoon Justin, et al.
Published: (2026)
by: Park, Junghoon Justin, et al.
Published: (2026)
Reinforcement Learning for Charging Optimization of Inhomogeneous Dicke Quantum Batteries
by: Song, Xiaobin, et al.
Published: (2025)
by: Song, Xiaobin, et al.
Published: (2025)
Guided Graph Compression for Quantum Graph Neural Networks
by: Casals, Mikel, et al.
Published: (2025)
by: Casals, Mikel, et al.
Published: (2025)
K-P Quantum Neural Networks
by: Perrier, Elija
Published: (2025)
by: Perrier, Elija
Published: (2025)
Quantum Circuit Reasoning Models: A Variational Framework for Differentiable Logical Inference
by: Kiruluta, Andrew
Published: (2025)
by: Kiruluta, Andrew
Published: (2025)
Regression of Functions by Quantum Neural Networks Circuits
by: Neto, Fernando M. de Paula, et al.
Published: (2025)
by: Neto, Fernando M. de Paula, et al.
Published: (2025)
Neural Quantum Propagators for Driven-Dissipative Quantum Dynamics
by: Zhang, Jiaji, et al.
Published: (2024)
by: Zhang, Jiaji, et al.
Published: (2024)
Parallel Proportional Fusion of Spiking Quantum Neural Network for Optimizing Image Classification
by: Xu, Zuyu, et al.
Published: (2024)
by: Xu, Zuyu, et al.
Published: (2024)
Quantum-Inspired Optimization Process for Data Imputation
by: Mohanty, Nishikanta, et al.
Published: (2025)
by: Mohanty, Nishikanta, et al.
Published: (2025)
Exact and Asymptotically Complete Robust Verifications of Neural Networks via Quantum Optimization
by: Li, Wenxin, et al.
Published: (2026)
by: Li, Wenxin, et al.
Published: (2026)
A Hybrid Quantum Neural Network for Split Learning
by: Cowlessur, Hevish, et al.
Published: (2024)
by: Cowlessur, Hevish, et al.
Published: (2024)
A Two-stage Optimization Method for Wide-range Single-electron Quantum Magnetic Sensing
by: Guo, Shiqian, et al.
Published: (2025)
by: Guo, Shiqian, et al.
Published: (2025)
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting
by: Liu, Chen-Yu, et al.
Published: (2025)
by: Liu, Chen-Yu, et al.
Published: (2025)
Quantum Convolutional Neural Network: A Hybrid Quantum-Classical Approach for Iris Dataset Classification
by: Tomal, S. M. Yousuf Iqbal, et al.
Published: (2024)
by: Tomal, S. M. Yousuf Iqbal, et al.
Published: (2024)
Graph-Conditioned Meta-Optimizer for QAOA Parameter Generation on Multiple Problem Classes
by: Nguyen, Kien X., et al.
Published: (2026)
by: Nguyen, Kien X., et al.
Published: (2026)
Reducing Complexity for Quantum Approaches in Train Load Optimization
by: Tang, Zhijie, et al.
Published: (2026)
by: Tang, Zhijie, et al.
Published: (2026)
Similar Items
-
Scalable Parameter Design for Superconducting Quantum Circuits with Graph Neural Networks
by: Ai, Hao, et al.
Published: (2024) -
QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits
by: Tyagin, Ilya, et al.
Published: (2025) -
Infeasibility Aware Large Language Models for Combinatorial Optimization
by: Wang, Yakun, et al.
Published: (2026) -
QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems
by: Osaba, Eneko, et al.
Published: (2024) -
Quantum Grid Path Planning Using Parallel QAOA Circuits Based on Minimum Energy Principle
by: Liu, Jun
Published: (2025)