Zhiding Liang

Orcid: 0000-0002-7568-0165

According to our database1, Zhiding Liang authored at least 48 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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

Suppressing the Erasure Error of Fusion Operation in Photonic Quantum Computing.
CoRR, April, 2026

Compiler Framework for Directional Transport in Zoned Neutral Atom Systems with AOD Assistance: A Hybrid Remote CZ Approach.
CoRR, April, 2026

EDDQC: Enhanced Dynamical Distributing Quantum Compilation.
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

Reinforcement Learning for Enhanced Advanced QEC Architecture Decoding.
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

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

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

Quantum Computing-Enabled Contingency Analysis for Power Systems.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 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

A Scalable and Robust Compilation Framework for Emitter-Photonic Graph State.
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

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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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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