Zewei Mo

According to our database, Zewei Mo authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

STMC: Small-Tile Multiple-Copy Compilation for Reliable Measurement-Based Quantum Computing.

Rongchao Dong, Zewei Mo, Yingheng Li, Aditya Pawar, Jun Yang, Youtao Zhang, Xulong Tang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

2024

FCM: A Fusion-aware Wire Cutting Approach for Measurement-based Quantum Computing.

Zewei Mo, Yingheng Li, Aditya Pawar, Xulong Tang, Jun Yang, Youtao Zhang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

QRCC: Evaluating Large Quantum Circuits on Small Quantum Computers through Integrated Qubit Reuse and Circuit Cutting.

Aditya Pawar, Yingheng Li, Zewei Mo, Yanan Guo, Xulong Tang, Youtao Zhang, Jun Yang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

FMCC: Flexible Measurement-based Quantum Computation over Cluster State.

Yingheng Li, Aditya Pawar, Zewei Mo, Youtao Zhang, Jun Yang, Xulong Tang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Minimizing Photonic Cluster State Depth in Measurement-Based Quantum Computing.

Yingheng Li, Aditya Pawar, Zewei Mo, Youtao Zhang, Jun Yang, Xulong Tang

CoRR, 2023

Integrated Qubit Reuse and Circuit Cutting for Large Quantum Circuit Evaluation.

Aditya Pawar, Yingheng Li, Zewei Mo, Yanan Guo, Youtao Zhang, Xulong Tang, Jun Yang

CoRR, 2023

KeSCo: Compiler-based Kernel Scheduling for Multi-task GPU Applications.

Zejia Lin, Zewei Mo, Xuanteng Huang, Xianwei Zhang, Yutong Lu

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

2022

RollBin: reducing code-size via loop rerolling at binary level.

Tianao Ge, Zewei Mo, Kan Wu, Xianwei Zhang, Yutong Lu

Proceedings of the LCTES '22: 23rd ACM SIGPLAN/SIGBED International Conference on Languages, 2022

moTuner: a compiler-based auto-tuning approach for mixed-precision operators.

Zewei Mo, Zejia Lin, Xianwei Zhang, Yutong Lu

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022