QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning

QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning

26 February 2022

Song Han

Papers citing "QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning"

18 / 18 papers shown

Title
Quantum Deep Equilibrium Models Philipp Schleich Marta Skreta L. B. Kristensen Rodrigo A. Vargas-Hernández Alán Aspuru-Guzik 30 0 0 31 Oct 2024
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey Bikram Khanal Pablo Rivas Arun Sanjel Korn Sooksatra Ernesto Quevedo Alejandro Rodriguez 28 2 0 11 Sep 2024
STIQ: Safeguarding Training and Inferencing of Quantum Neural Networks from Untrusted Cloud Satwik Kundu Swaroop Ghosh 34 5 0 29 May 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
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
Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications Hankyul Baek Donghyeon Kim Joongheon Kim 34 3 0 28 Dec 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 30 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 21 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 13 10 0 27 Nov 2023
DyPP: Dynamic Parameter Prediction to Accelerate Convergence of Variational Quantum Algorithms Satwik Kundu Debarshi Kundu Swaroop Ghosh 44 0 0 23 Jul 2023
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model Zhepeng Wang Jinyang Li Zhirui Hu Blake Gage Elizabeth Iwasawa Weiwen Jiang 30 9 0 23 Apr 2023
Review of Ansatz Designing Techniques for Variational Quantum Algorithms Junhan Qin 27 10 0 07 Dec 2022
Quantum Split Neural Network Learning using Cross-Channel Pooling Won Joon Yun Hankyul Baek Joongheon Kim 34 4 0 12 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 37 31 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 14 14 0 13 Jul 2022
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets Charles Moussa Jan N. van Rijn Thomas Bäck Vedran Dunjko 24 12 0 20 Jun 2022
QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization Hanrui Wang Jiaqi Gu Yongshan Ding Zi-Chen Li Frederic T. Chong David Z. Pan Song Han 27 63 0 21 Oct 2021