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Quantum Neural Network Compression
v1v2 (latest)

Quantum Neural Network Compression

4 July 2022
Zhirui Hu
Zhaoyang Han
Zhepeng Wang
Youzuo Lin
Yanzhi Wang
Weiwen Jiang
    GNN
ArXiv (abs)PDFHTML

Papers citing "Quantum Neural Network Compression"

8 / 8 papers shown
PALQO: Physics-informed Model for Accelerating Large-scale Quantum Optimization
PALQO: Physics-informed Model for Accelerating Large-scale Quantum Optimization
Yiming Huang
Yajie Hao
Jing Zhou
Xiao Yuan
Xiaoting Wang
Yuxuan Du
232
1
0
25 Sep 2025
RhoDARTS: Differentiable Quantum Architecture Search with Density Matrix Simulations
RhoDARTS: Differentiable Quantum Architecture Search with Density Matrix Simulations
Swagat Kumar
Jan-Nico Zaech
Colin Michael Wilmott
Luc Van Gool
208
0
0
04 Jun 2025
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2025
Mohamed Afane
Gabrielle Ebbrecht
Ying Wang
Juntao Chen
Junaid Farooq
230
3
0
26 Mar 2025
QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and
  Improved Inference Times in CNN Models
QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and Improved Inference Times in CNN Models
Zhumazhan Balapanov
Edward Magongo
Vanessa Matvei
Olivia Holmberg
Jonathan Pei
Kevin Zhu
227
2
0
14 Oct 2024
PristiQ: A Co-Design Framework for Preserving Data Security of Quantum
  Learning in the Cloud
PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud
Zhepeng Wang
Yi Sheng
Nirajan Koirala
Kanad Basu
Taeho Jung
Cheng-Chang Lu
Weiwen Jiang
240
5
0
20 Apr 2024
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep
  Learning on NISQ Devices
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ DevicesInternational Conference on Quantum Computing and Engineering (QCE), 2023
Jinyang Li
Zhepeng Wang
Zhirui Hu
Prasanna Date
A. Li
Weiwen Jiang
198
14
0
19 Jul 2023
QuMoS: A Framework for Preserving Security of Quantum Machine Learning
  Model
QuMoS: A Framework for Preserving Security of Quantum Machine Learning ModelInternational Conference on Quantum Computing and Engineering (QCE), 2023
Zhepeng Wang
Jinyang Li
Zhirui Hu
Blake Gage
Elizabeth Iwasawa
Weiwen Jiang
302
16
0
23 Apr 2023
Review of Ansatz Designing Techniques for Variational Quantum Algorithms
Review of Ansatz Designing Techniques for Variational Quantum Algorithms
Junhan Qin
215
21
0
07 Dec 2022
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