Introduction:
We are currently focusing on develop the stack for quantum machine learning. The first work, QuantumFlow, is published at Nature Communications. This work is also invited to give contribution talk at ESWEEK'21 and Quantum Weeek'21. Details please visit [QuantumFlow](../../../../categories/QF/).
Members:
Weiwen Jiang and Ph.D. Students in JQub
Publications:
1.
Torchquantum case study for robust quantum circuits
Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z Pan, Frederic T Chong, Song Han
International Conference on Computer-Aided Design, 2022
2.
All-in-on： A highly representative dnn pruning framework for edge devices with dynamic power management
Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
International Conference on Computer-Aided Design, 2022
3.
Quantum Neural Network Compression [arXiv]
Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang
In Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
4.
Towards sparsification of graph neural networks
Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Orner Khan, Caiwen Ding
IEEE 40th International Conference on Computer Design (ICCD), 2022
5.
Towards Real-Time Temporal Graph Learning
Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
IEEE 40th International Conference on Computer Design (ICCD), 2022
6.
On the design of quantum graph convolutional neural network in the nisq-era and beyond
Zhirui Hu, Jinyang Li, Zhenyu Pan, Shanglin Zhou, Lei Yang, Caiwen Ding, Omer Khan, Tong Geng, Weiwen Jiang
IEEE 40th International Conference on Computer Design (ICCD), 2022
7.
Hardware-aware automated architecture search for brain-inspired hyperdimensional computing
Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis, Xun Jiao, Weiwen Jiang, Lei Yang
IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2022
8.
VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing [arXiv]
Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan
IEEE Transactions on Visualization and Computer Graphics, 2022
9.
Variational Quantum Pulse Learning [arXiv]
Zhiding Liang, Hanrui Wang, Jinglei Cheng, Yongshan Ding, Hang Ren, Zhengqi Gao, Zhirui Hu, Duane S. Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi
IEEE International Conference on Quantum Computing and Engineering (QCE), 2022
10.
Iterative qubits management for quantum index searching in a hybrid system
Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen
IEEE International Performance, Computing, and Communications Conference (IPCCC), 2022
11.
Seismic waveform inversion capability on resource-constrained edge devices
Daniel Manu, Petro Mushidi Tshakwanda, Youzuo Lin, Weiwen Jiang, Lei Yang
Journal of Imaging, 2022
12.
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework
Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
ACM Transactions on Embedded Computing Systems, 2022
13.
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow [arXiv]
Z. Liang, Z. Wang, J. Yang, L. Yang, J. Xiong, Y. Shi, W. Jiang,
Accepted by IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Virtual, 2021. (Invited paper)
14.
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs [arXiv]
Z. Wang, Z. Liang, S. Zhou, C. Ding, J. Xiong, Y. Shi, W. Jiang,
Accepted by IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Virtual, 2021. (Invited paper)
15.
A Co-Design Framework of Neural Networks and Quantum Circuits Towards Quantum Advantage
W. Jiang, J. Xiong, and Y. Shi
16.
When Machine Learning Meets Quantum Computers: A Case Study [arXiv]
W. Jiang, J. Xiong, and Y. Shi
in Proc. of Asia and South Pacific Design Automation Conference (ASP-DAC), (Invited paper)
Hornors:
