Zhiding Liang
Orcid: 0000-0002-7568-0165
According to our database1,
Zhiding Liang authored at least 48 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
QCS-ADME: Quantum circuit search for drug property prediction with imbalanced data and regression adaptation.
Quantum Mach. Intell., June, 2026
QAOA-Driven PMU placement optimization with graph learning-based parameter initialization refinement.
Quantum Mach. Intell., June, 2026
CoRR, April, 2026
Compiler Framework for Directional Transport in Zoned Neutral Atom Systems with AOD Assistance: A Hybrid Remote CZ Approach.
CoRR, April, 2026
IEEE Trans. Very Large Scale Integr. Syst., January, 2026
Beyond Affinity: A Benchmark of 1D, 2D, and 3D Methods Reveals Critical Trade-offs in Structure-Based Drug Design.
Trans. Mach. Learn. Res., 2026
DC-MBQC: A Distributed Compilation Framework for Measurement-Based Quantum Computing.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026
Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026
2025
A Compilation Framework for Quantum Circuits with Mid-Circuit Measurement Error Awareness.
CoRR, November, 2025
TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE.
CoRR, September, 2025
HybridQ: Hybrid Classical-Quantum Generative Adversarial Network for Skin Disease Image Generation.
CoRR, June, 2025
Peer-to-Peer Distribution of Graph States Across Spacetime Quantum Networks of Arbitrary Topology.
Proceedings of the Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2025
Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025
Can Classical Initialization Help Variational Quantum Circuits Escape the Barren Plateau?
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025
EPOC: An Efficient Pulse Generation Framework with Advanced Synthesis for Quantum Circuits.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
IEEE Trans. Vis. Comput. Graph., June, 2024
NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2024
Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs.
CoRR, 2024
CoRR, 2024
Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm.
CoRR, 2024
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
2023
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training.
CoRR, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
2022
CoRR, 2022
Improving Quantum Classifier Performance in NISQ Computers by Voting Strategy from Ensemble Learning.
CoRR, 2022
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
2021
CoRR, 2021
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow.
CoRR, 2021
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021