Publications

Conference Articles

2024

  1. MICRO
    Qoncord: A Multi-Device Job Scheduling Framework for Variational Quantum Algorithms
    Meng Wang, Poulami Das, and Prashant J Nair
    In Proceedings of the 57th Annual IEEE/ACM International Symposium on Microarchitecture , 2024
  2. ASPLOS
    Red-QAOA: Efficient Variational Optimization through Circuit Reduction
    Meng Wang, Bo Fang, Ang Li, and Prashant J Nair
    In Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 , 2024

preprints

2024

  1. arXiv
    TANQ-Sim: Tensorcore Accelerated Noisy Quantum System Simulation via QIR on Perlmutter HPC
    Ang Li, Chenxu Liu, Samuel Stein, In-Saeng Suh, Muqing Zheng, Meng Wang, Yue Shi, Bo Fang, Martin Roetteler, and Travis Humble
    2024

2023

  1. arXiv
    Quantum Memory: A Missing Piece in Quantum Computing Units
    Chenxu Liu, Meng Wang, Samuel A Stein, Yufei Ding, and Ang Li
    2023
  2. arXiv
    QASMTrans: A QASM based Quantum Transpiler Framework for NISQ Devices
    Fei Hua, Meng Wang, Gushu Li, Bo Peng, Chenxu Liu, Muqing Zheng, Samuel Stein, Yufei Ding, Eddy Z Zhang, Travis S Humble, and  others
    2023

2022

  1. arXiv
    TQSim: a case for reuse-focused tree-based quantum circuit simulation
    Meng Wang, Rui Huang, Swamit Tannu, and Prashant Nair
    2022

abstracts

2023

  1. March Meeting
    A Case for Efficient and Scalable Tree-Based Quantum Circuit Simulator
    Meng Wang, Huang Rui, Swamit Tannu, and Prashant Nair
    2023

workshops

2023

  1. QCCC
    Efficient QAOA Optimization using Directed Restarts and Graph Lookup
    Meng Wang, Bo Fang, Ang Li, and Prashant Nair
    2023
  2. SC
    Enabling Scalable VQE Simulation on Leading HPC Systems
    Meng Wang, Fei Hua, Chenxu Liu, Nicholas Bauman, Karol Kowalski, Daniel Claudino, Travis Humble, Prashant Nair, and Ang Li
    2023
  3. SC
    QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices
    Fei Hua, Meng Wang, Gushu Li, Bo Peng, Chenxu Liu, Muqing Zheng, Samuel Stein, Yufei Ding, Eddy Z Zhang, Travis Humble, and  others
    2023