Publications

Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and Inference

Shuqing Luo, Pingzhi Li, Jie Peng, Hanrui Wang, Yang (Katie) Zhao, Yu (Kevin) Cao, Yu Cheng, Tianlong Chen

ICML 2025

Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers

Junyao Zhang, Hanrui Wang, Qi Ding, Jiaqi Gu, Reouven Assouly, William D Oliver, Song Han, Kenneth R Brown, Hai Li, Yiran Chen

ISCA 2025

qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers

Junyao Zhang, Guanglei Zhou, Feng Cheng, Jonathan Ku, Qi Ding, Jiaqi Gu, Hanrui Wang, Hai Li, Yiran Chen

DATE 2025

Efficient Quantum Gradient and Higher-Order Derivative Estimation via Generalized Hadamard Test

Dantong Li, Dikshant Dulal, Mykhailo Ohorodnikov, Hanrui Wang, Yongshan Ding

arxiv 2025

Artificial Intelligence for Quantum Computing

Yuri Alexeev, Marwa H. Farag, Taylor L. Patti, Mark E. Wolf, Natalia Ares, Alán Aspuru-Guzik, Simon C. Benjamin, Zhenyu Cai, Zohim Chandani, Federico Fedele, Nicholas Harrigan, Jin-Sung Kim, Elica Kyoseva, Justin G. Lietz, Tom Lubowe, Alexander McCaskey, Roger G. Melko, Kouhei Nakaji, Alberto Peruzzo, Sam Stanwyck, Norm M. Tubman, Hanrui Wang, Timothy Costa

arxiv 2025

HEXA-MoE: Efficient and Heterogeneous-aware MoE Acceleration with ZERO Computation Redundancy

Shuqing Luo, Jie Peng, Pingzhi Li, Hanrui Wang, Tianlong Chen

arxiv 2025

Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays

Hanrui Wang, Pengyu Liu, Daniel Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han

ISCA 2024

Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas

Hanrui Wang, Daniel Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han

DAC 2024

NAPA: Intermediate-level Variational Native-pulse Ansatz for Variational Quantum Algorithms

Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian

TCAD 2024

Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator

Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxing Tang, Chenghao Feng, Song Han, Ray T Chen, David Z Pan

HPCA 2024

SnCQA: A Hardware-Efficient Equivariant Quantum Convolutional Circuit Architecture

Han Zheng, Gokul Subramanian Ravi, Christopher Kang, Hanrui Wang, Kanav Setia, Frederic T Chong, Junyu Liu

QCE 2023

DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms

Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Frederic T Chong, Song Han, Frank Mueller, Yiran Chen

QCE 2023

QuCS: A Lecture Series on Quantum Computer Software and System

Zhiding Liang, Hanrui Wang

QCE 2023

SpAtten-Chip: A Fully-Integrated Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination for Language Understanding on Edge Devices

Zexi Ji*, Hanrui Wang*, Miaorong Wang, Win-San Khwa, Meng-Fan Chang, Song Han, Anantha P Chandrakasan

ISLPED 2023

Hybrid Gate-Pulse Model for Variational Quantum Algorithms

Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi

DAC 2023

Machine Learning for Arterial Blood Pressure Prediction

Jessica Zheng*, Hanrui Wang*, Anand Chandrasekhar, Aaron D Aguirre, Song Han, Hae-Seung Lee, Charles G Sodini

CHIL 2023

Design of Quantum Computer Antivirus

Sanjay Deshpande, Chuanqi Xu, Theodoros Trochatos, Hanrui Wang, Ferhat Erata, Song Han, Yongshan Ding, Jakub Szefer

HOST 2023

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation

Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z Pan, Frederic T Chong, Song Han

ICCAD 2022

Variational Quantum Pulse Learning

Zhiding Liang*, Hanrui Wang*, Jinglei Cheng, Yongshan Ding, Hang Ren, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi

QCE 2022

RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL

Wei Shi*, Hanrui Wang*, Jiaqi Gu, Mingjie Liu, David Pan, Song Han, Nan Sun

MLCAD 2022

DeepVS: a deep learning approach for RF-based vital signs sensing

Zongxing Xie, Hanrui Wang, Song Han, Elinor Schoenfeld, Fan Ye

ACM-BCB 2022

QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning

Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han

DAC 2022

QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization

Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han

DAC 2022

RaM-SAR: A Low Energy and Area Overhead, 11.3fJ/conv.-step 12b 25MS/s Secure Random-Mapping SAR ADC with Power and EM Side-channel Attack Resilience

Ruicong Chen, Hanrui Wang, Anantha Chandrakasan, Hae-Seung Lee

VLSI-C 2022

Efficient AI Computing

Publications

Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and Inference

Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers

qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers

Efficient Quantum Gradient and Higher-Order Derivative Estimation via Generalized Hadamard Test

Artificial Intelligence for Quantum Computing

HEXA-MoE: Efficient and Heterogeneous-aware MoE Acceleration with ZERO Computation Redundancy

Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays

Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas

NAPA: Intermediate-level Variational Native-pulse Ansatz for Variational Quantum Algorithms

Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator

SnCQA: A Hardware-Efficient Equivariant Quantum Convolutional Circuit Architecture

DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms

QuCS: A Lecture Series on Quantum Computer Software and System

SpAtten-Chip: A Fully-Integrated Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination for Language Understanding on Edge Devices

Hybrid Gate-Pulse Model for Variational Quantum Algorithms

Machine Learning for Arterial Blood Pressure Prediction

Design of Quantum Computer Antivirus

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation

Variational Quantum Pulse Learning

RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL

DeepVS: a deep learning approach for RF-based vital signs sensing

QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning

QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization

RaM-SAR: A Low Energy and Area Overhead, 11.3fJ/conv.-step 12b 25MS/s Secure Random-Mapping SAR ADC with Power and EM Side-channel Attack Resilience

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits

Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications

PointAcc: Efficient Point Cloud Accelerator

SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning

APQ: Joint Search for Nerwork Architecture, Pruning and Quantization Policy

SpArch: Efficient Architecture for Sparse Matrix Multiplication

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Park: An Open Platform for Learning-Augmented Computer Systems

Learning to Design Circuits

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Understanding Performance Differences of FPGAs and GPUs