LiePrune: Lie Group and Quantum Geometric Dual Representation for One-Shot Structured Pruning of Quantum Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Shao, Haijian, Yang, Bowen, Liu, Wei, Deng, Xing, Jiang, Yingtao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
One-Shot Structured Pruning of Quantum Neural Networks via $q$-Group Engineering and Quantum Geometric Metrics
by: Shao, Haijian, et al.
Published: (2025)
by: Shao, Haijian, et al.
Published: (2025)
LieTrunc-QNN: Lie Algebra Truncation and Quantum Expressivity Phase Transition from LiePrune to Provably Stable Quantum Neural Networks
by: Shao, Haijian, et al.
Published: (2026)
by: Shao, Haijian, et al.
Published: (2026)
Quantum-Inspired Spectral Geometry for Neural Operator Equivalence and Structured Pruning
by: Shao, Haijian, et al.
Published: (2025)
by: Shao, Haijian, et al.
Published: (2025)
Spectral Complex Autoencoder Pruning: A Fidelity-Guided Criterion for Extreme Structured Channel Compression
by: Liu, Wei, et al.
Published: (2026)
by: Liu, Wei, et al.
Published: (2026)
One-Shot Multi-Rate Pruning of Graph Convolutional Networks
by: Sahbi, Hichem
Published: (2023)
by: Sahbi, Hichem
Published: (2023)
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
by: Wang, Hanrui, et al.
Published: (2022)
by: Wang, Hanrui, et al.
Published: (2022)
Signal Collapse in One-Shot Pruning: When Sparse Models Fail to Distinguish Neural Representations
by: Saikumar, Dhananjay, et al.
Published: (2025)
by: Saikumar, Dhananjay, et al.
Published: (2025)
CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers
by: Zhang, Boxiang, et al.
Published: (2026)
by: Zhang, Boxiang, et al.
Published: (2026)
OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot
by: Zhu, Junhan, et al.
Published: (2025)
by: Zhu, Junhan, et al.
Published: (2025)
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
by: Meng, Xiang, et al.
Published: (2024)
by: Meng, Xiang, et al.
Published: (2024)
QP-SNN: Quantized and Pruned Spiking Neural Networks
by: Wei, Wenjie, et al.
Published: (2025)
by: Wei, Wenjie, et al.
Published: (2025)
Electrostatic Force Regularization for Neural Structured Pruning
by: Ferdi, Abdesselam, et al.
Published: (2024)
by: Ferdi, Abdesselam, et al.
Published: (2024)
Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization
by: Ferdi, Abdesselam
Published: (2024)
by: Ferdi, Abdesselam
Published: (2024)
ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks
by: Hu, Wenhao, et al.
Published: (2025)
by: Hu, Wenhao, et al.
Published: (2025)
Shapley Pruning for Neural Network Compression
by: Adamczewski, Kamil, et al.
Published: (2024)
by: Adamczewski, Kamil, et al.
Published: (2024)
Spectrally Pruned Gaussian Fields with Neural Compensation
by: Yang, Runyi, et al.
Published: (2024)
by: Yang, Runyi, et al.
Published: (2024)
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning
by: Gupta, Manas, et al.
Published: (2022)
by: Gupta, Manas, et al.
Published: (2022)
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
by: Shumaylov, Zakhar, et al.
Published: (2024)
by: Shumaylov, Zakhar, et al.
Published: (2024)
Teacher-Guided One-Shot Pruning via Context-Aware Knowledge Distillation
by: Alim, Md. Samiul, et al.
Published: (2025)
by: Alim, Md. Samiul, et al.
Published: (2025)
QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks
by: Nguyen, Hoang-Quan, et al.
Published: (2025)
by: Nguyen, Hoang-Quan, et al.
Published: (2025)
Block Pruning for Enhanced Efficiency in Convolutional Neural Networks
by: Wu, Cheng-En, et al.
Published: (2023)
by: Wu, Cheng-En, et al.
Published: (2023)
GenLie: A Global-Enhanced Lie Detection Network under Sparsity and Semantic Interference
by: Zhang, Zongshun, et al.
Published: (2026)
by: Zhang, Zongshun, et al.
Published: (2026)
Geometric Optimization on Lie Groups: A Lie-Theoretic Explanation of Barren Plateau Mitigation for Variational Quantum Algorithms
by: Yi, Zhehao, et al.
Published: (2025)
by: Yi, Zhehao, et al.
Published: (2025)
FGFP: A Fractional Gaussian Filter and Pruning for Deep Neural Networks Compression
by: Tu, Kuan-Ting, et al.
Published: (2025)
by: Tu, Kuan-Ting, et al.
Published: (2025)
Sparse by Rule: Probability-Based N:M Pruning for Spiking Neural Networks
by: Ye, Shuhan, et al.
Published: (2025)
by: Ye, Shuhan, et al.
Published: (2025)
GoPrune: Accelerated Structured Pruning with $\ell_{2,p}$-Norm Optimization
by: Xu, Li, et al.
Published: (2025)
by: Xu, Li, et al.
Published: (2025)
Lie Flow: Video Dynamic Fields Modeling and Predicting with Lie Algebra as Geometric Physics Principle
by: Qiao, Weidong, et al.
Published: (2026)
by: Qiao, Weidong, et al.
Published: (2026)
When Does Pruning Benefit Vision Representations?
by: Cassano, Enrico, et al.
Published: (2025)
by: Cassano, Enrico, et al.
Published: (2025)
Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks
by: Cruz, Guilherme, et al.
Published: (2026)
by: Cruz, Guilherme, et al.
Published: (2026)
The Effects of Grouped Structural Global Pruning of Vision Transformers on Domain Generalisation
by: Riaz, Hamza, et al.
Published: (2025)
by: Riaz, Hamza, et al.
Published: (2025)
Training-Free Restoration of Pruned Neural Networks
by: Lee, Keonho, et al.
Published: (2025)
by: Lee, Keonho, et al.
Published: (2025)
Training Noise Token Pruning
by: Rao, Mingxing, et al.
Published: (2024)
by: Rao, Mingxing, et al.
Published: (2024)
Optimal Brain Connection: Towards Efficient Structural Pruning
by: Chen, Shaowu, et al.
Published: (2025)
by: Chen, Shaowu, et al.
Published: (2025)
Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
by: Qu, Xiaoyi, et al.
Published: (2025)
by: Qu, Xiaoyi, et al.
Published: (2025)
On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation
by: Papa, Lorenzo, et al.
Published: (2024)
by: Papa, Lorenzo, et al.
Published: (2024)
Enhancing Certifiable Semantic Robustness via Robust Pruning of Deep Neural Networks
by: Hu, Hanjiang, et al.
Published: (2025)
by: Hu, Hanjiang, et al.
Published: (2025)
PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion
by: Kousar, Humaira, et al.
Published: (2026)
by: Kousar, Humaira, et al.
Published: (2026)
Growing Networks with Autonomous Pruning
by: De Lambilly, Charles, et al.
Published: (2026)
by: De Lambilly, Charles, et al.
Published: (2026)
C-SWAP: Explainability-Aware Structured Pruning for Efficient Neural Networks Compression
by: Bauvin, Baptiste, et al.
Published: (2025)
by: Bauvin, Baptiste, et al.
Published: (2025)
One-Cycle Structured Pruning via Stability-Driven Subnetwork Search
by: Ghimire, Deepak, et al.
Published: (2025)
by: Ghimire, Deepak, et al.
Published: (2025)
Similar Items
-
One-Shot Structured Pruning of Quantum Neural Networks via $q$-Group Engineering and Quantum Geometric Metrics
by: Shao, Haijian, et al.
Published: (2025) -
LieTrunc-QNN: Lie Algebra Truncation and Quantum Expressivity Phase Transition from LiePrune to Provably Stable Quantum Neural Networks
by: Shao, Haijian, et al.
Published: (2026) -
Quantum-Inspired Spectral Geometry for Neural Operator Equivalence and Structured Pruning
by: Shao, Haijian, et al.
Published: (2025) -
Spectral Complex Autoencoder Pruning: A Fidelity-Guided Criterion for Extreme Structured Channel Compression
by: Liu, Wei, et al.
Published: (2026) -
One-Shot Multi-Rate Pruning of Graph Convolutional Networks
by: Sahbi, Hichem
Published: (2023)