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Ge Yan
Ge Yan
PhD of Computer Science, Shanghai Jiao Tong University
Verifisert e-postadresse på sjtu.edu.cn
Tittel
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Quantumdarts: differentiable quantum architecture search for variational quantum algorithms
W Wu, G Yan, X Lu, K Pan, J Yan
International conference on machine learning, 37745-37764, 2023
292023
Parallel greedy algorithm to multiple influence maximization in social network
G Wu, X Gao, G Yan, G Chen
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (3), 1-21, 2021
282021
Qas-bench: rethinking quantum architecture search and a benchmark
X Lu, K Pan, G Yan, J Shan, W Wu, J Yan
International conference on machine learning, 22880-22898, 2023
142023
Towards quantum machine learning for constrained combinatorial optimization: a quantum qap solver
X Ye, G Yan, J Yan
International Conference on Machine Learning, 39903-39912, 2023
122023
Quantum circuit synthesis and compilation optimization: Overview and prospects
Y Ge, W Wenjie, C Yuheng, P Kaisen, L Xudong, Z Zixiang, W Yuhan, ...
arXiv preprint arXiv:2407.00736, 2024
92024
Vqne: Variational quantum network embedding with application to network alignment
X Ye, G Yan, J Yan
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
72023
Towards a native quantum paradigm for graph representation learning: A sampling-based recurrent embedding approach
G Yan, Y Tang, J Yan
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
72022
Quantum 3D graph learning with applications to molecule embedding
G Yan, H Wu, J Yan
International Conference on Machine Learning, 39126-39137, 2023
62023
On reducing the execution latency of superconducting quantum processors via quantum program scheduling
W Wu, Y Wang, G Yan, Y Zhao, J Yan
arXiv preprint arXiv:2404.07882, 2024
52024
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
G Yan, H Chen, K Pan, J Yan
The Twelfth International Conference on Learning Representations, 2024
12024
Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz
G Yan, M Ran, R Wang, K Pan, J Yan
Advances in Neural Information Processing Systems 37, 65020-65047, 2024
2024
Universal Hamming Weight Preserving Variational Quantum Ansatz
G Yan, K Pan, R Wang, M Ran, H Chen, X Wang, J Yan
arXiv preprint arXiv:2412.04825, 2024
2024
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Artikler 1–12