Scalable Quantum Error Mitigation with Physically Informed Graph Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Huaxin, Wu, Xinge, Liu, Jiajun, He, Ruiqing, Shang, Jiandong, Guo, Hengliang, Chen, Qiang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable Quantum Error Mitigation with Neighbor-Informed Learning
by: Chen, Zhenyu, et al.
Published: (2025)
by: Chen, Zhenyu, et al.
Published: (2025)
Approximate Hamiltonian Simulation Algorithm for Efficient Fluid Quantum Simulations
by: Zhang, Zhiyuan, et al.
Published: (2026)
by: Zhang, Zhiyuan, et al.
Published: (2026)
Scalable Neural Decoders for Practical Real-Time Quantum Error Correction
by: Lee, Changwon, et al.
Published: (2025)
by: Lee, Changwon, et al.
Published: (2025)
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs
by: Farea, Afrah, et al.
Published: (2025)
by: Farea, Afrah, et al.
Published: (2025)
Quantum Noise Tomography with Physics-Informed Neural Networks
by: Sulc, Antonin
Published: (2025)
by: Sulc, Antonin
Published: (2025)
Machine Learning for Practical Quantum Error Mitigation
by: Liao, Haoran, et al.
Published: (2023)
by: Liao, Haoran, et al.
Published: (2023)
Deep Learning Approaches to Quantum Error Mitigation
by: Placidi, Leonardo, et al.
Published: (2026)
by: Placidi, Leonardo, et al.
Published: (2026)
Noise-Agnostic Quantum Error Mitigation with Data Augmented Neural Models
by: Liao, Manwen, et al.
Published: (2023)
by: Liao, Manwen, et al.
Published: (2023)
Quantum Pointwise Convolution: A Flexible and Scalable Approach for Neural Network Enhancement
by: Ning, An, et al.
Published: (2024)
by: Ning, An, et al.
Published: (2024)
Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation
by: Shen, Siqi, et al.
Published: (2025)
by: Shen, Siqi, et al.
Published: (2025)
Inductive Graph Representation Learning with Quantum Graph Neural Networks
by: Faria, Arthur M., et al.
Published: (2025)
by: Faria, Arthur M., et al.
Published: (2025)
Compilation, Optimization, Error Mitigation, and Machine Learning in Quantum Algorithms
by: Wang, Shuangbao Paul, et al.
Published: (2025)
by: Wang, Shuangbao Paul, et al.
Published: (2025)
Quantum Error Mitigation with Attention Graph Transformers for Burgers Equation Solvers on NISQ Hardware
by: Tousi, Seyed Mohamad Ali, et al.
Published: (2025)
by: Tousi, Seyed Mohamad Ali, et al.
Published: (2025)
Variational Quantum Physics-Informed Neural Networks for Hydrological PDE-Constrained Learning with Inherent Uncertainty Quantification
by: Hewage, Prasad Nimantha Madusanka Ukwatta, et al.
Published: (2026)
by: Hewage, Prasad Nimantha Madusanka Ukwatta, et al.
Published: (2026)
AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling
by: Dutta, Siddhant, et al.
Published: (2024)
by: Dutta, Siddhant, et al.
Published: (2024)
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach
by: Ai, Xing, et al.
Published: (2022)
by: Ai, Xing, et al.
Published: (2022)
A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks
by: Shinde, Aakash Ravindra, et al.
Published: (2023)
by: Shinde, Aakash Ravindra, et al.
Published: (2023)
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
by: Wang, Samson, et al.
Published: (2021)
by: Wang, Samson, et al.
Published: (2021)
Wavelet-Accelerated Physics-Informed Quantum Neural Network for Multiscale Partial Differential Equations
by: Gupta, Deepak, et al.
Published: (2025)
by: Gupta, Deepak, et al.
Published: (2025)
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks
by: Ceschini, Andrea, et al.
Published: (2024)
by: Ceschini, Andrea, et al.
Published: (2024)
Graph Neural Networks on Quantum Computers
by: Liao, Yidong, et al.
Published: (2024)
by: Liao, Yidong, et al.
Published: (2024)
Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
by: Aktar, Shamminuj, et al.
Published: (2024)
by: Aktar, Shamminuj, et al.
Published: (2024)
Jet Discrimination with Quantum Complete Graph Neural Network
by: Chen, Yi-An, et al.
Published: (2024)
by: Chen, Yi-An, et al.
Published: (2024)
Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection
by: Tudisco, Antonio, et al.
Published: (2025)
by: Tudisco, Antonio, et al.
Published: (2025)
Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models
by: D'Amico, Luigi, et al.
Published: (2025)
by: D'Amico, Luigi, et al.
Published: (2025)
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning
by: Gholipour, Hamed, et al.
Published: (2024)
by: Gholipour, Hamed, et al.
Published: (2024)
Accelerating Inference for Multilayer Neural Networks with Quantum Computers
by: Rattew, Arthur G., et al.
Published: (2025)
by: Rattew, Arthur G., et al.
Published: (2025)
GSC-QEMit: A Telemetry-Driven Hierarchical Forecast-and-Bandit Framework for Adaptive Quantum Error Mitigation
by: Szachara, Steven, et al.
Published: (2026)
by: Szachara, Steven, et al.
Published: (2026)
Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
by: Zhai, Jucai, et al.
Published: (2026)
by: Zhai, Jucai, et al.
Published: (2026)
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)
Hybrid Quantum Graph Neural Network for Molecular Property Prediction
by: Vitz, Michael, et al.
Published: (2024)
by: Vitz, Michael, et al.
Published: (2024)
Decoding Quantum LDPC Codes Using Graph Neural Networks
by: Ninkovic, Vukan, et al.
Published: (2024)
by: Ninkovic, Vukan, et al.
Published: (2024)
Financial Fraud Detection using Quantum Graph Neural Networks
by: Innan, Nouhaila, et al.
Published: (2023)
by: Innan, Nouhaila, et al.
Published: (2023)
Beyond Classical Attention: Quantum Attention for Scalable Computation
by: Guo, Xuyang, et al.
Published: (2023)
by: Guo, Xuyang, et al.
Published: (2023)
On the Interpretability of Quantum Neural Networks
by: Pira, Lirandë, et al.
Published: (2023)
by: Pira, Lirandë, et al.
Published: (2023)
Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks
by: Mattick, Alexander, et al.
Published: (2025)
by: Mattick, Alexander, et al.
Published: (2025)
How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations
by: Innan, Nouhaila, et al.
Published: (2026)
by: Innan, Nouhaila, et al.
Published: (2026)
Quantum Graph Attention Networks: Trainable Quantum Encoders for Inductive Graph Learning
by: Faria, Arthur M., et al.
Published: (2025)
by: Faria, Arthur M., et al.
Published: (2025)
Rethink the Role of Neural Decoders in Quantum Error Correction
by: Yan, Ge, et al.
Published: (2026)
by: Yan, Ge, et al.
Published: (2026)
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
by: Nicoli, Kim A., et al.
Published: (2024)
by: Nicoli, Kim A., et al.
Published: (2024)
Similar Items
-
Scalable Quantum Error Mitigation with Neighbor-Informed Learning
by: Chen, Zhenyu, et al.
Published: (2025) -
Approximate Hamiltonian Simulation Algorithm for Efficient Fluid Quantum Simulations
by: Zhang, Zhiyuan, et al.
Published: (2026) -
Scalable Neural Decoders for Practical Real-Time Quantum Error Correction
by: Lee, Changwon, et al.
Published: (2025) -
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs
by: Farea, Afrah, et al.
Published: (2025) -
Quantum Noise Tomography with Physics-Informed Neural Networks
by: Sulc, Antonin
Published: (2025)