Liqiang Lu

ZJU100 Young Professor

Assistant Professor of College of Computer Science and Technology

Biography

I am an assistant professor (ZJU100 Young Professor) in the College of Computer Science at Zhejiang University (ZJU). I received my Ph.D. degree from Peking University in 2022 (advised by Prof. Yun Liang), and Bachelor degree from Peking University in 2017. My research interest is at computer architecture, quantum computing, electronic design automation (EDA), hardware and software co-design. Recently, I mainly focus on the dataflow modeling of tensor computing, software optimization of quantum computing, hybrid algorithm design by mixing classical computing and quantum computing. I have authored over 30 scientific publications in top-tier conferences and journals including ISCA, ASPLOS, HPCA, MICRO, DAC, ICCAD, FCCM, TCAD, IEEE Micro. I also serve in the program committees in the premier conferences including DAC, ICCAD, DATE, FPT, HPCC, and serve as reviewers in several top journals including TPDS, TC, TCAD, TECS, TVLSI.

Research

System, Hardware, Software Optimization for Quantum Computing

• Optimization techniques for the compilation of quantum circuits
  • Quantum circuit analysis framework by vectorization (MICRO 2023)
  • Dynamic pulse library for IO optimization (ICCAD 2023)
  • Quantum program verification and repair (ASPLOS 2024, FSE 2025)
• Hardware-level optimization for high-fidelity quantum circuit
  • FEM-based quantum readout calibration (ASPLOS 2024)
  • Sparse accelerator for quantum readout error mitigation (DAC 2024)
  • MoE-based automatic quantum calibration (DATE 2025)
  • Near-quantum dynamic cache design for fast pulse generation (TCAD 2025)
• Software-hardware codesign for quantum applications
  • End-to-end acceleration for solving 3-SAT problems (HPCA 2023)
  • Noise optimization for quantum neural networks (TCAD 2024)
  • Commute Hamiltonian-based QAOA for constrained binary optimization (HPCA 2025)

Architecture Design and Dataflow Analysis for AI Applications

• Tensor dataflow analysis and optimization theory
  • Relation-centric notation for tensor computing (ISCA 2021)
  • Dataflow decomposition for DSE (DAC 2023, TCAD 2024)
  • Automatic mapping on spatial architecture (ISCA 2022)
• AI accelerator and sparse accelerator design
  • Transformer accelerator (MICRO 2021, FPL 2023)
  • Winograd- and FFT-based fast algorithm for CNN (FCCM 2017, TCAD 2018)
• Reconfigurable architecture and agile chip design
  • Reconfigurable systolic array (MICRO 2021)
  • Agile spatial accelerator for tensor algebra (DAC 2021, TCAD 2023)
• Hardware-software codesign for Sparsity
  • Sparse Winograd-based accelerator (DAC 2018)
  • Sparse CNN accelerator (FCCM 2019)
  • Hardware-friendly CNN compression (TCAD 2021, TCAD 2021)

Tutorials

• HPCA 2025 Janus 3.0: A Software Framework for Analyzing, Optimizing, Verifying, and Implementing Quantum Circuit (Link)
• ASPLOS 2024 Janus 2.0: A Software Framework for Analyzing, Optimizing, and Implementing Quantum Circuit (Link)
• MICRO 2021 AHS: An Agile Framework for Hardware Specialization and Software Mapping (Link)

Selected News

• March 2025: Two papers are accepted to ISCA’25. Congratulations to Wuwei and Chenning.
• Feb 2025: Three papers are accepted to DAC’25. Congratulations to Kaiwen, Tianze, and Tianyao.
• Jan 2025: One paper is accepted to FSE’25. Congratulations to Siwei.
• Jan 2025: Our HPCA 2025 tutorial “Janus 3.0: A Software Framework for Analyzing, Optimizing, Verifying, and Implementing Quantum Circuit” is scheduled on March 2. This is the link to our tutorial.
• Nov 2024: Siwei successfully joined the School of Software Technology at Zhejiang University as a tenure-track assistant professor/Hundred Talented Program – Congratulations!
• Nov 2024: Serve as the program co-chair (with Prof. Shuiguang Deng) for CCF Advanced Computing and Emerging Service (ACES, organized by Prof. Jianwei Yin) forum at Hangzhou. Thanks to the Invited Speakers.
• Nov 2024: One paper is accepted to DATE’25. Congratulations to Tingting.
• Nov 2024: One paper is accepted to TCAD’24. Congratulations to Wuwei.
• Nov 2024: One paper is accepted to HPCA’25. Congratulations to Debin and Qifan.
• Oct 2024: Invited to give a talk of “A Framework for Analyzing Quantum Circuit by Extracting Contextual and Topological Features” at China National Computer Congress (CNCC).
• Oct 2024: Our tutorial proposal “Janus 3.0: A Software Framework for Analyzing, Optimizing, Verifying, and Implementing Quantum Circuit” is accepted to HPCA’25. Welcome to attend! We will update the link soon.
• Sep 2024: Siwei Tan successfully defended his doctoral thesis titled “Optimization Theory and Key Technique for Quantum Computing Software System”. Siwei wins the excellent Ph.D thesis award of Zhejiang University. He will stay in Zhejiang University as a tenure-track assistant professor – Congratulations!
• Sep 2024: Hengrui’s project “Studying the EQC for quantum neural networks” is funded for undergraduate from National Natural Science Foundation of China (第二届国自然基金委本科生项目). Congratulations to Hengrui.
• Sep 2024: One paper is accepted to TCAD’24. Congratulations to Tingting.
• May 2024: We organize the first “Quantum Circuit Design Automation Conference” (QCDAC) in Nanjing. Thanks to the co-organizers. I’m invited to give a talk of my DAC 2024 paper.
• Mar 2024: One paper is accepted to DAC’24. Congratulations to Hanyu.
• Feb 2024: MorphQPV is awarded the “Artifacts Available”, “Artifacts Evaluated – Functional” and “Results Reproduced”. Badges offered by the Artifact Evaluation Committee of ASPLOS 2024.
• Feb 2024: Two papers are accepted to ASPLOS’24. Congratulations to Siwei and Debin.
• Dec 2023: We organize “Quantum Software and Applications Forum” in Hangzhou with around 200 attendees. Thanks to the speakers (Prof. Xiaoming Sun, Prof. Lvzhou Li, Prof. Dong Wu, Prof. Tongyang Li, Prof. Zhen Wang).
• Dec 2023: Our tutorial “Janus 2.0: A Software Framework for Analyzing, Optimizing, and Implementing Quantum Circuit” (Link) is accepted to ASPLOS’24.Our tutoiral is scheduled on April 27th, welcome to attend!
• Sep 2023: Tianyao’s project “Dynamic Scheduling for Quantum Communication Network with Online Request” is funded for undergraduate from National Natural Science Foundation of China (首届国自然基金委本科生项目). Congratulations to Tianyao.
• Aug 2023: My PhD thesis is awarded the best thesis in CCF architecture subcommittee (2023 CCF体系结构优博).
• Jul 2023: One paper is accepted to MICRO’23. Congratulations to Siwei.
• Jul 2023: One paper is accepted to ICCAD’23. Congratulations to Wuwei.
• May 2023: Invited to give a talk on “Hot topics and recent trend in AI chip architecture and infrastructure” for Huawei in Hangzhou.
• Mar 2023: My paper is accepted to FPL’23. Thanks to Zizhang and the other coauthors.
• Feb 2023: My paper is accepted to DAC’23. Thanks to Zizhang and the other coauthors.
• Oct 2022: One paper is accepted to HPCA’23. Congratulations to Siwei and Mingqian.
• Jul 2022: We launched an event for releasing “Janus 1.0 Quantum Cloud Platform” at Hangzhou, which is equipped with “Tianmu” superconducting quantum chip developed by Zhejiang University. Our quantum cloud platform was widely reported by Zhejiang Satellite TV, BiliBili, Tencent News, etc.
• Jun 2022: I successfully defend my PhD thesis “Architecture Design and Dataflow Analysis for Tensor Applications”, and start as a ZJU100 Young Professor at Zhejiang University. My thesis is awarded the excellent thesis of Peking University in 2022 (北京大学优博).

Teaching

• Theoretical basis and programming of quantum computing (Turing Class in ZJU, Autumn’23, ’24)
• Introduction to the software of quantum computing (Autumn’23, ’24)
• AI Chip design (Winter’22, ’23, ’24)