QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization

21 October 2021

Frederic T. Chong

Song Han

Papers citing "QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization"

21 / 21 papers shown

Title
EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data Jason Han N. DiBrita Younghyun Cho Hengrui Luo Tirthak Patel 60 0 0 18 Mar 2025
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey Bikram Khanal Pablo Rivas Arun Sanjel Korn Sooksatra Ernesto Quevedo Alejandro Rodriguez 26 2 0 11 Sep 2024
Security Concerns in Quantum Machine Learning as a Service Satwik Kundu Swaroop Ghosh 28 1 0 18 Aug 2024
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits Hoang-Quan Nguyen Xuan-Bac Nguyen Samuel Yen-Chi Chen Hugh Churchill Nicholas Borys Samee U. Khan Khoa Luu DiffM 37 5 0 02 Jun 2024
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 23 5 0 20 Apr 2024
JustQ: Automated Deployment of Fair and Accurate Quantum Neural Networks Ruhan Wang Fahiz Baba-Yara Fan Chen 27 1 0 17 Mar 2024
Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm Zhiding Liang Gang Liu Zheyuan Liu Jinglei Cheng Tianyi Hao ... Hang Ren Zhixin Song Ji Liu Fanny Ye Yiyu Shi AI4CE 35 4 0 05 Mar 2024
Élivágar: Efficient Quantum Circuit Search for Classification Sashwat Anagolum Narges Alavisamani Poulami Das Moinuddin K. Qureshi Eric Kessler Yunong Shi 36 14 0 17 Jan 2024
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits Tianlong Chen Zhenyu (Allen) Zhang Hanrui Wang Jiaqi Gu Zi-Chen Li David Z. Pan Frederic T. Chong Song Han Zhangyang Wang 29 0 0 10 Jan 2024
Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses David Winderl Nicola Franco J. M. Lorenz AAML 47 7 0 29 Nov 2023
Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers Hanrui Wang Pengyu Liu Kevin Shao Dantong Li Jiaqi Gu David Z. Pan Yongshan Ding Song Han 14 7 0 27 Nov 2023
DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting Hanrui Wang Pengyu Liu Yilian Liu Jiaqi Gu Jonathan M. Baker Frederic T. Chong Song Han 19 8 0 27 Nov 2023
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training Hanrui Wang Yilian Liu Pengyu Liu Jiaqi Gu Zi-Chen Li ... Xuehai Qian Yiyu Shi David Z. Pan Frederic T. Chong Song Han 11 10 0 27 Nov 2023
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model Zhepeng Wang Jinyang Li Zhirui Hu Blake Gage Elizabeth Iwasawa Weiwen Jiang 25 9 0 23 Apr 2023
Review of Ansatz Designing Techniques for Variational Quantum Algorithms Junhan Qin 22 10 0 07 Dec 2022
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks Kaixiong Zhou Zhenyu (Allen) Zhang Sheng-Wei Chen Tianlong Chen Xiao Huang Zhangyang Wang Xia Hu GNN 30 2 0 09 Nov 2022
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation Hanrui Wang Pengyu Liu Jinglei Cheng Zhiding Liang Jiaqi Gu ... Yiyu Shi Xuehai Qian D. Pan Frederic T. Chong Song Han 29 31 0 30 Oct 2022
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL Wei Shi Hanrui Wang Jiaqi Gu Mingjie Liu D. Pan Song Han Nan Sun 9 14 0 13 Jul 2022
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets Charles Moussa Jan N. van Rijn Thomas Bäck Vedran Dunjko 19 12 0 20 Jun 2022
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning Hanrui Wang Zi-Chen Li Jiaqi Gu Yongshan Ding D. Pan Song Han 34 52 0 26 Feb 2022
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications Yongqiang Tian Wuqi Zhang Ming Wen S. Cheung Chengnian Sun Shiqing Ma Yu Jiang 21 6 0 06 Dec 2021