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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"

31 / 31 papers shown

Title
EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data Jason Han N. DiBrita Younghyun Cho Hengrui Luo Tirthak Patel 83 1 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 52 2 0 11 Sep 2024
Security Concerns in Quantum Machine Learning as a Service Satwik Kundu Swaroop Ghosh 49 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 75 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 61 5 0 20 Apr 2024
JustQ: Automated Deployment of Fair and Accurate Quantum Neural Networks Ruhan Wang Fahiz Baba-Yara Fan Chen 67 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 56 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 69 18 0 17 Jan 2024
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits Tianlong Chen Zhenyu Zhang Hanrui Wang Jiaqi Gu Zi-Chen Li David Z. Pan Frederic T. Chong Song Han Zhangyang Wang 69 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 77 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 64 12 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 47 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 48 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 58 11 0 23 Apr 2023
Review of Ansatz Designing Techniques for Variational Quantum Algorithms Junhan Qin 71 12 0 07 Dec 2022
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks Kaixiong Zhou Zhenyu Zhang Sheng-Wei Chen Tianlong Chen Xiao Huang Zhangyang Wang Xia Hu GNN 64 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 David Z. Pan Frederic T. Chong Song Han 77 32 0 30 Oct 2022
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL Wei Shi Hanrui Wang Jiaqi Gu Mingjie Liu David Z. Pan Song Han Nan Sun 49 15 0 13 Jul 2022
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets Charles Moussa Jan N. van Rijn Thomas Bäck Vedran Dunjko 83 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 David Z. Pan Song Han 82 53 0 26 Feb 2022
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications Yongqiang Tian Wuqi Zhang Ming Wen Shing-Chi Cheung Chengnian Sun Shiqing Ma Yu Jiang 55 7 0 06 Dec 2021
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs Zhepeng Wang Zhiding Liang Shangli Zhou Caiwen Ding Yiyu Shi Weiwen Jiang 70 33 0 08 Sep 2021
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow Zhiding Liang Zhepeng Wang Junhuan Yang Lei Yang Jinjun Xiong Y. Shi Weiwen Jiang 73 37 0 08 Sep 2021
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits Hanrui Wang Yongshan Ding Jiaqi Gu Zirui Li Chengyue Wu David Z. Pan Frederic T. Chong Song Han 77 181 0 22 Jul 2021
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning Hanrui Wang Zhekai Zhang Song Han 116 390 0 17 Dec 2020
A Co-Design Framework of Neural Networks and Quantum Circuits Towards Quantum Advantage Weiwen Jiang Jinjun Xiong Yiyu Shi 52 77 0 26 Jun 2020
Defensive Quantization: When Efficiency Meets Robustness Ji Lin Chuang Gan Song Han MQ 74 203 0 17 Apr 2019
Barren plateaus in quantum neural network training landscapes Jarrod R. McClean Sergio Boixo V. Smelyanskiy Ryan Babbush Hartmut Neven 89 1,821 0 29 Mar 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,883 0 25 Aug 2017
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 259 8,842 0 01 Oct 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015