research
∙
07/15/2022
On the Super-exponential Quantum Speedup of Equivariant Quantum Machine Learning Algorithms with SU(d) Symmetry
We introduce a framework of the equivariant convolutional algorithms whi...
share
research
∙
05/31/2022
Learning to Represent Programs with Code Hierarchies
Graph neural networks have been shown to produce impressive results for ...
research
∙
12/14/2021
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze
We develop a theoretical framework for S_n-equivariant quantum convoluti...
research
∙
06/02/2021
Multiresolution Graph Variational Autoencoder
In this paper, we propose Multiresolution Graph Networks (MGN) and Multi...
research
∙
02/11/2018
