Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects.
CoRR, 2024
On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling.
CoRR, 2024
Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Job Scheduling.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024
VQNE: Variational Quantum Network Embedding with Application to Network Alignment.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver.
Proceedings of the International Conference on Machine Learning, 2023
Quantum 3D Graph Learning with Applications to Molecule Embedding.
Proceedings of the International Conference on Machine Learning, 2023
QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms.
Proceedings of the International Conference on Machine Learning, 2023
QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark.
Proceedings of the International Conference on Machine Learning, 2023
Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Parallel Greedy Algorithm to Multiple Influence Maximization in Social Network.
ACM Trans. Knowl. Discov. Data, 2021