Chenghong Zhu

Orcid: 0009-0008-5613-1030

According to our database1, Chenghong Zhu authored at least 16 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Quantum latent diffusion model for high-dimensional state generation.
Quantum Mach. Intell., June, 2026

2025
Optimizer-dependent generalization bound for quantum neural networks.
Quantum Mach. Intell., December, 2025

A Compilation Framework for Quantum Circuits with Mid-Circuit Measurement Error Awareness.
CoRR, November, 2025

A quest toward comprehensive benchmarking of quantum computing software.
Nat. Comput. Sci., May, 2025

Predicting symmetries of quantum dynamics with optimal samples.
CoRR, February, 2025

MUSS-TI: Multi-level Shuttle Scheduling for Large-Scale Entanglement Module Linked Trapped-Ion.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

S-SYNC: Shuttle and Swap Co-Optimization in Quantum Charge-Coupled Devices.
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

BOSS: Blocking algorithm for optimizing shuttling scheduling in Ion Trap.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

PHOENIX: Pauli-Based High-Level Optimization Engine for Instruction Execution on NISQ Devices.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024
Estimate Distillable Entanglement and Quantum Capacity by Squeezing Useless Entanglement.
IEEE J. Sel. Areas Commun., July, 2024

Hypothesis testing of symmetry in quantum dynamics.
CoRR, 2024

Entanglement cost of discriminating quantum states under locality constraints.
Proceedings of the IEEE International Symposium on Information Theory, 2024

2023
Reversible Entanglement Beyond Quantum Operations.
CoRR, 2023

Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks.
CoRR, 2023

Efficient information recovery from Pauli noise via classical shadow.
CoRR, 2023

Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


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