TeD-Q: a tensor network enhanced distributed hybrid quantum machine learning framework
Fuente:
arXiv
Guardado en:
| Autores principales: | Chen, Yaocheng, Kuo, Chung-Yun, Du, Yuxuan, Tao, Dacheng, Wu, Xingyao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
On exploring the potential of quantum auto-encoder for learning quantum systems
por: Du, Yuxuan, et al.
Publicado: (2021)
por: Du, Yuxuan, et al.
Publicado: (2021)
Dequantizing quantum machine learning models using tensor networks
por: Shin, Seongwook, et al.
Publicado: (2023)
por: Shin, Seongwook, et al.
Publicado: (2023)
Grokking as an entanglement transition in tensor network machine learning
por: Pomarico, Domenico, et al.
Publicado: (2025)
por: Pomarico, Domenico, et al.
Publicado: (2025)
Efficient tensor networks for control-enhanced quantum metrology
por: Liu, Qiushi, et al.
Publicado: (2024)
por: Liu, Qiushi, et al.
Publicado: (2024)
AQER: a scalable and efficient data loader for digital quantum computers
por: Zhang, Kaining, et al.
Publicado: (2026)
por: Zhang, Kaining, et al.
Publicado: (2026)
AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
por: Wang, Xinbiao, et al.
Publicado: (2025)
por: Wang, Xinbiao, et al.
Publicado: (2025)
Density matrix representation of hybrid tensor networks for noisy quantum devices
por: Harada, Hiroyuki, et al.
Publicado: (2023)
por: Harada, Hiroyuki, et al.
Publicado: (2023)
The power of entanglement in distributed quantum machine learning
por: Kim, Yerim, et al.
Publicado: (2026)
por: Kim, Yerim, et al.
Publicado: (2026)
An energy efficient quantum-enhanced machine
por: Hou, Waner, et al.
Publicado: (2024)
por: Hou, Waner, et al.
Publicado: (2024)
Parallel hybrid quantum-classical machine learning for kernelized time-series classification
por: Baker, Jack S., et al.
Publicado: (2023)
por: Baker, Jack S., et al.
Publicado: (2023)
Research progress on quantum neural networks and quantum machine learning
por: Sun, Yifan, et al.
Publicado: (2026)
por: Sun, Yifan, et al.
Publicado: (2026)
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits
por: Du, Yuxuan, et al.
Publicado: (2024)
por: Du, Yuxuan, et al.
Publicado: (2024)
Quantum computing quantum Monte Carlo with hybrid tensor network for electronic structure calculations
por: Kanno, Shu, et al.
Publicado: (2023)
por: Kanno, Shu, et al.
Publicado: (2023)
A hybrid quantum-classical framework for computational fluid dynamics
por: Ye, Chuang-Chao, et al.
Publicado: (2024)
por: Ye, Chuang-Chao, et al.
Publicado: (2024)
Quantum-inspired tensor networks in machine learning models
por: Valverde, Guillermo, et al.
Publicado: (2026)
por: Valverde, Guillermo, et al.
Publicado: (2026)
Memory-enhanced quantum extreme learning machines for characterizing non-Markovian dynamics
por: Assil, Hajar, et al.
Publicado: (2026)
por: Assil, Hajar, et al.
Publicado: (2026)
Ad-hoc hybrid-heterogeneous metropolitan-range quantum key distribution network
por: Goy, Matthias, et al.
Publicado: (2024)
por: Goy, Matthias, et al.
Publicado: (2024)
A metropolitan-scale trapped-ion quantum network node with hybrid multiplexing enhancements
por: Cui, Z. -B., et al.
Publicado: (2025)
por: Cui, Z. -B., et al.
Publicado: (2025)
Entanglement distribution based on quantum walk in arbitrary quantum networks
por: Chen, Tianen, et al.
Publicado: (2024)
por: Chen, Tianen, et al.
Publicado: (2024)
Dimension reduction with structure-aware quantum circuits for hybrid machine learning
por: Daskin, Ammar
Publicado: (2025)
por: Daskin, Ammar
Publicado: (2025)
Beyond Penrose tensor diagrams with the ZX calculus: Applications to quantum computing, quantum machine learning, condensed matter physics, and quantum gravity
por: Wang, Quanlong, et al.
Publicado: (2025)
por: Wang, Quanlong, et al.
Publicado: (2025)
Privacy-preserving machine learning with tensor networks
por: Pozas-Kerstjens, Alejandro, et al.
Publicado: (2022)
por: Pozas-Kerstjens, Alejandro, et al.
Publicado: (2022)
Quantum-enhanced distributed network sensing using multiple quantum resources
por: Zhang, Rui, et al.
Publicado: (2026)
por: Zhang, Rui, et al.
Publicado: (2026)
Q-GEAR: Improving quantum simulation framework
por: Guo, Ziqing, et al.
Publicado: (2025)
por: Guo, Ziqing, et al.
Publicado: (2025)
Exploring quantum localization with machine learning
por: Montes, J., et al.
Publicado: (2024)
por: Montes, J., et al.
Publicado: (2024)
Integrated distributed sensing and quantum communication networks
por: Xu, Yuehan, et al.
Publicado: (2024)
por: Xu, Yuehan, et al.
Publicado: (2024)
Randomness-enhanced expressivity of quantum neural networks
por: Wu, Yadong, et al.
Publicado: (2023)
por: Wu, Yadong, et al.
Publicado: (2023)
QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation
por: Ivashkov, Petr, et al.
Publicado: (2024)
por: Ivashkov, Petr, et al.
Publicado: (2024)
TorchQC -- A framework for efficiently integrating machine and deep learning methods in quantum dynamics and control
por: Koutromanos, Dimitris, et al.
Publicado: (2024)
por: Koutromanos, Dimitris, et al.
Publicado: (2024)
Nanodiamond quantum thermometry assisted with machine learning
por: Yamamoto, Kouki, et al.
Publicado: (2025)
por: Yamamoto, Kouki, et al.
Publicado: (2025)
Neural auto-designer for enhanced quantum kernels
por: Lei, Cong, et al.
Publicado: (2024)
por: Lei, Cong, et al.
Publicado: (2024)
Local surrogates for quantum machine learning
por: Nair, Sreeraj Rajindran, et al.
Publicado: (2025)
por: Nair, Sreeraj Rajindran, et al.
Publicado: (2025)
Measurement-based quantum machine learning
por: Calderón, Luis Mantilla, et al.
Publicado: (2024)
por: Calderón, Luis Mantilla, et al.
Publicado: (2024)
Single-shot quantum machine learning
por: Recio-Armengol, Erik, et al.
Publicado: (2024)
por: Recio-Armengol, Erik, et al.
Publicado: (2024)
A quantum eigenvalue solver based on tensor networks
por: Leimkuhler, Oskar, et al.
Publicado: (2024)
por: Leimkuhler, Oskar, et al.
Publicado: (2024)
Molecular representations of quantum circuits for quantum machine learning
por: Torabian, Elham, et al.
Publicado: (2025)
por: Torabian, Elham, et al.
Publicado: (2025)
TensorKrowch: Smooth integration of tensor networks in machine learning
por: Monturiol, José Ramón Pareja, et al.
Publicado: (2023)
por: Monturiol, José Ramón Pareja, et al.
Publicado: (2023)
Scalable quantum dynamics compilation via quantum machine learning
por: Zhang, Yuxuan, et al.
Publicado: (2024)
por: Zhang, Yuxuan, et al.
Publicado: (2024)
Local tensor-train surrogates for quantum learning models
por: Nair, Sreeraj Rajindran, et al.
Publicado: (2026)
por: Nair, Sreeraj Rajindran, et al.
Publicado: (2026)
A hybrid quantum walk model unifying discrete and continuous quantum walks
por: Chen, Tianen, et al.
Publicado: (2025)
por: Chen, Tianen, et al.
Publicado: (2025)
Ejemplares similares
-
On exploring the potential of quantum auto-encoder for learning quantum systems
por: Du, Yuxuan, et al.
Publicado: (2021) -
Dequantizing quantum machine learning models using tensor networks
por: Shin, Seongwook, et al.
Publicado: (2023) -
Grokking as an entanglement transition in tensor network machine learning
por: Pomarico, Domenico, et al.
Publicado: (2025) -
Efficient tensor networks for control-enhanced quantum metrology
por: Liu, Qiushi, et al.
Publicado: (2024) -
AQER: a scalable and efficient data loader for digital quantum computers
por: Zhang, Kaining, et al.
Publicado: (2026)