Zhiding Liang

Orcid: 0000-0002-7568-0165

According to our database1, Zhiding Liang authored at least 35 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Optimal PMU Placement via Quantum Optimization.
IEEE Trans. Smart Grid, July, 2025

HybridQ: Hybrid Classical-Quantum Generative Adversarial Network for Skin Disease Image Generation.
CoRR, June, 2025

A Scalable and Robust Compilation Framework for Emitter-Photonic Graph State.
CoRR, March, 2025

QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation.
CoRR, March, 2025

Quantum-Inspired Fidelity-based Divergence.
CoRR, January, 2025

Peer-to-Peer Distribution of Graph States Across Spacetime Quantum Networks of Arbitrary Topology.
Proc. ACM Meas. Anal. Comput. Syst., 2025

ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Introduction to Quantum Machine Learning and Quantum Architecture Search.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Hardware-aware Calibration Protocol for Quantum Computers.
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

CaliQEC: In-situ Qubit Calibration for Surface Code Quantum Error Correction.
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Intuit: Explain Quantum Computing Concepts via AR-based Analogy.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
VIOLET: Visual Analytics for Explainable Quantum Neural Networks.
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

Tackling Coherent Noise in Quantum Computing via Cross-Layer Compiler Optimization.
CoRR, 2024

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design.
CoRR, 2024

Quantum-machine-assisted Drug Discovery: Survey and Perspective.
CoRR, 2024

Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm.
CoRR, 2024

Compiler Optimizations for QAOA.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Combining Parameterized Pulses and Contextual Subspace for More Practical VQE.
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

QuCS: A Lecture Series on Quantum Computer Software and System.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Hybrid Gate-Pulse Model for Variational Quantum Algorithms.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation.
CoRR, 2022

TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits.
CoRR, 2022

Improving Quantum Classifier Performance in NISQ Computers by Voting Strategy from Ensemble Learning.
CoRR, 2022

PAN: Pulse Ansatz on NISQ Machines.
CoRR, 2022

Variational Quantum Pulse Learning.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

TorchQuantum Case Study for Robust Quantum Circuits.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs.
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


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