49 citations · 60 across the 4 of their papers we have counts for
4 papers
Quarl: A Learning-Based Quantum Circuit Optimizer
Zikun Li, Jinjun Peng, Yixuan Mei +4
Optimizing quantum circuits is challenging due to the very large search space of functionally equivalent circuits and the necessity of applying transformations that temporarily dec…
Quartz: Superoptimization of Quantum Circuits (Extended Version)
Mingkuan Xu, Zikun Li, Oded Padon +8
Existing quantum compilers optimize quantum circuits by applying circuit transformations designed by experts. This approach requires significant manual effort to design and impleme…
Redundancy-Free Computation Graphs for Graph Neural Networks
Zhihao Jia, Sina Lin, Rex Ying +3
Graph Neural Networks (GNNs) are based on repeated aggregations of information across nodes' neighbors in a graph. However, because common neighbors are shared between different no…
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks
Zhihao Jia, Sina Lin, Charles R. Qi +1
The past few years have witnessed growth in the computational requirements for training deep convolutional neural networks. Current approaches parallelize training onto multiple de…