Self-Adaptive Physics-Informed Quantum Machine Learning for Solving Differential Equations
Fuente:
arXiv
Guardado en:
| Autores principales: | Setty, Abhishek, Abdusalamov, Rasul, Motzoi, Felix |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Quantum Linear Systems Pathway for Solving Differential Equations
por: Setty, Abhishek
Publicado: (2025)
por: Setty, Abhishek
Publicado: (2025)
Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
por: Zhai, Jucai, et al.
Publicado: (2026)
por: Zhai, Jucai, et al.
Publicado: (2026)
Physics Informed Token Transformer for Solving Partial Differential Equations
por: Lorsung, Cooper, et al.
Publicado: (2023)
por: Lorsung, Cooper, et al.
Publicado: (2023)
Neural Quantum Spectral Operator Learning for Solving Partial Differential Equations
por: Kim, Chanyoung, et al.
Publicado: (2026)
por: Kim, Chanyoung, et al.
Publicado: (2026)
Quantum Noise Tomography with Physics-Informed Neural Networks
por: Sulc, Antonin
Publicado: (2025)
por: Sulc, Antonin
Publicado: (2025)
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs
por: Farea, Afrah, et al.
Publicado: (2025)
por: Farea, Afrah, et al.
Publicado: (2025)
Solving The Quantum Many-Body Hamiltonian Learning Problem with Neural Differential Equations
por: Heightman, Timothy, et al.
Publicado: (2024)
por: Heightman, Timothy, et al.
Publicado: (2024)
Gradient Enhanced Self-Training Physics-Informed Neural Network (gST-PINN) for Solving Nonlinear Partial Differential Equations
por: Iyer, Narayan S, et al.
Publicado: (2025)
por: Iyer, Narayan S, et al.
Publicado: (2025)
Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations
por: Gao, Nicholas, et al.
Publicado: (2024)
por: Gao, Nicholas, et al.
Publicado: (2024)
Differentiating and Integrating ZX Diagrams with Applications to Quantum Machine Learning
por: Wang, Quanlong, et al.
Publicado: (2022)
por: Wang, Quanlong, et al.
Publicado: (2022)
Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage
por: Wang, Maida, et al.
Publicado: (2025)
por: Wang, Maida, et al.
Publicado: (2025)
Quantum Architecture Search for Solving Quantum Machine Learning Tasks
por: Kölle, Michael, et al.
Publicado: (2025)
por: Kölle, Michael, et al.
Publicado: (2025)
Adaptive Sensing of Continuous Physical Systems for Machine Learning
por: Köster, Felix, et al.
Publicado: (2026)
por: Köster, Felix, et al.
Publicado: (2026)
BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations
por: Mirzabeigi, Elmira, et al.
Publicado: (2025)
por: Mirzabeigi, Elmira, et al.
Publicado: (2025)
Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations
por: Rao, Xiang, et al.
Publicado: (2025)
por: Rao, Xiang, et al.
Publicado: (2025)
Quantum AS-DeepOnet: Quantum Attentive Stacked DeepONet for Solving 2D Evolution Equations
por: Wang, Hongquan, et al.
Publicado: (2026)
por: Wang, Hongquan, et al.
Publicado: (2026)
Scalable Quantum Error Mitigation with Neighbor-Informed Learning
por: Chen, Zhenyu, et al.
Publicado: (2025)
por: Chen, Zhenyu, et al.
Publicado: (2025)
PICL: Physics Informed Contrastive Learning for Partial Differential Equations
por: Lorsung, Cooper, et al.
Publicado: (2024)
por: Lorsung, Cooper, et al.
Publicado: (2024)
Learning Robust Observable to Address Noise in Quantum Machine Learning
por: Khanal, Bikram, et al.
Publicado: (2024)
por: Khanal, Bikram, et al.
Publicado: (2024)
Quantum Adaptive Self-Attention for Quantum Transformer Models
por: Chen, Chi-Sheng, et al.
Publicado: (2025)
por: Chen, Chi-Sheng, et al.
Publicado: (2025)
Using Quantum Solved Deep Boltzmann Machines to Increase the Data Efficiency of RL Agents
por: Kent, Daniel, et al.
Publicado: (2024)
por: Kent, Daniel, et al.
Publicado: (2024)
Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction
por: Sakhuja, Saiyam, et al.
Publicado: (2025)
por: Sakhuja, Saiyam, et al.
Publicado: (2025)
Quantum State Tomography using Quantum Machine Learning
por: Innan, Nouhaila, et al.
Publicado: (2023)
por: Innan, Nouhaila, et al.
Publicado: (2023)
Quantum Adaptive Self-Attention for Financial Rebalancing: An Empirical Study on Automated Market Makers in Decentralized Finance
por: Chen, Chi-Sheng, et al.
Publicado: (2025)
por: Chen, Chi-Sheng, et al.
Publicado: (2025)
Solving Differential Equation with Quantum-Circuit Enhanced Physics-Informed Neural Networks
por: Soni, Rachana
Publicado: (2025)
por: Soni, Rachana
Publicado: (2025)
Federated Learning with Quantum Enhanced LSTM for Applications in High Energy Physics
por: Sawaika, Abhishek, et al.
Publicado: (2026)
por: Sawaika, Abhishek, et al.
Publicado: (2026)
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
por: Nicoli, Kim A., et al.
Publicado: (2024)
por: Nicoli, Kim A., et al.
Publicado: (2024)
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey
por: Khanal, Bikram, et al.
Publicado: (2024)
por: Khanal, Bikram, et al.
Publicado: (2024)
Quantum Dynamics of Machine Learning
por: Wang, Peng, et al.
Publicado: (2024)
por: Wang, Peng, et al.
Publicado: (2024)
Quantum Machine Learning: Quantum Kernel Methods
por: Naguleswaran, Sanjeev
Publicado: (2024)
por: Naguleswaran, Sanjeev
Publicado: (2024)
Adaptive Online Learning of Quantum States
por: Chen, Xinyi, et al.
Publicado: (2022)
por: Chen, Xinyi, et al.
Publicado: (2022)
Adaptive Learning for Quantum Linear Regression
por: Carugno, Costantino, et al.
Publicado: (2024)
por: Carugno, Costantino, et al.
Publicado: (2024)
QuantumBench: A Benchmark for Quantum Problem Solving
por: Minami, Shunya, et al.
Publicado: (2025)
por: Minami, Shunya, et al.
Publicado: (2025)
Variational Quantum Physics-Informed Neural Networks for Hydrological PDE-Constrained Learning with Inherent Uncertainty Quantification
por: Hewage, Prasad Nimantha Madusanka Ukwatta, et al.
Publicado: (2026)
por: Hewage, Prasad Nimantha Madusanka Ukwatta, et al.
Publicado: (2026)
Deep learning-based variational autoencoder for classification of quantum and classical states of light
por: Bhupati, Mahesh, et al.
Publicado: (2024)
por: Bhupati, Mahesh, et al.
Publicado: (2024)
Multiple Embeddings for Quantum Machine Learning
por: Han, Siyu, et al.
Publicado: (2025)
por: Han, Siyu, et al.
Publicado: (2025)
Enhancing Quantum Memory Lifetime with Measurement-Free Local Error Correction and Reinforcement Learning
por: Park, Mincheol, et al.
Publicado: (2024)
por: Park, Mincheol, et al.
Publicado: (2024)
Scalable Quantum Error Mitigation with Physically Informed Graph Neural Networks
por: Wang, Huaxin, et al.
Publicado: (2026)
por: Wang, Huaxin, et al.
Publicado: (2026)
Explainable Representation Learning of Small Quantum States
por: Frohnert, Felix, et al.
Publicado: (2023)
por: Frohnert, Felix, et al.
Publicado: (2023)
Machine Learning for Practical Quantum Error Mitigation
por: Liao, Haoran, et al.
Publicado: (2023)
por: Liao, Haoran, et al.
Publicado: (2023)
Ejemplares similares
-
A Quantum Linear Systems Pathway for Solving Differential Equations
por: Setty, Abhishek
Publicado: (2025) -
Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
por: Zhai, Jucai, et al.
Publicado: (2026) -
Physics Informed Token Transformer for Solving Partial Differential Equations
por: Lorsung, Cooper, et al.
Publicado: (2023) -
Neural Quantum Spectral Operator Learning for Solving Partial Differential Equations
por: Kim, Chanyoung, et al.
Publicado: (2026) -
Quantum Noise Tomography with Physics-Informed Neural Networks
por: Sulc, Antonin
Publicado: (2025)