Charm: A Language for Closed-Form High-Level Architecture Modeling. - Weilong Cui; Yongshan Ding 001; Deeksha Dangwal; Adam Holmes; Joseph McMahan; Ali JavadiAbhari; Georgios Tzimpragos; Frederic T. Chong; Timothy Sherwood (ISCA, 2018)

Magic-State Functional Units: Mapping and Scheduling Multi-Level Distillation Circuits for Fault-Tolerant Quantum Architectures. - Yongshan Ding 001; Adam Holmes; Ali Javadi-Abhari; Diana Franklin; Margaret Martonosi; Frederic T. Chong (MICRO, 2018)

Partial Compilation of Variational Algorithms for Noisy Intermediate-Scale Quantum Machines. - Pranav Gokhale; Yongshan Ding 001; Thomas Propson; Christopher Winkler; Nelson Leung 002; Yunong Shi; David I. Schuster; Henry Hoffmann; Frederic T. Chong (MICRO, 2019)

Resource optimized quantum architectures for surface code implementations of magic-state distillation. - Adam Holmes; Yongshan Ding 001; Ali Javadi-Abhari; Diana Franklin; Margaret Martonosi; Frederic T. Chong (Microprocess. Microsystems, 2019)

SQUARE: Strategic Quantum Ancilla Reuse for Modular Quantum Programs via Cost-Effective Uncomputation. - Yongshan Ding 001; Xin-Chuan Wu; Adam Holmes; Ash Wiseth; Diana Franklin; Margaret Martonosi; Frederic T. Chong (ISCA, 2020)

NISQ+: Boosting quantum computing power by approximating quantum error correction. - Adam Holmes; Mohammad Reza Jokar; Ghasem Pasandi; Yongshan Ding 001; Massoud Pedram; Frederic T. Chong (ISCA, 2020)

Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation. - Yongshan Ding 001; Pranav Gokhale; Sophia Fuhui Lin; Richard Rines; Thomas Propson; Frederic T. Chong (MICRO, 2020)

Optimization of Simultaneous Measurement for Variational Quantum Eigensolver Applications. - Pranav Gokhale; Olivia Angiuli; Yongshan Ding 001; Kaiwen Gui; Teague Tomesh; Martin Suchara; Margaret Martonosi; Frederic T. Chong (QCE, 2020)

Resource-Efficient Quantum Computing by Breaking Abstractions. - Yunong Shi; Pranav Gokhale; Prakash Murali; Jonathan M. Baker; Casey Duckering; Yongshan Ding 001; Natalie C. Brown; Christopher Chamberland; Ali Javadi-Abhari; Andrew W. Cross; David I. Schuster; Kenneth R. Brown; et al. (Proc. IEEE, 2020)

Quantum Computer Systems: Research for Noisy Intermediate-Scale Quantum Computers - Yongshan Ding 001; Frederic T. Chong (Quantum Computer Systems, 2020)

TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture. - Xin-Chuan Wu; Dripto M. Debroy; Yongshan Ding 001; Jonathan M. Baker; Yuri Alexeev; Kenneth R. Brown; Frederic T. Chong (HPCA, 2021)

RoQNN: Noise-Aware Training for Robust Quantum Neural Networks. - Hanrui Wang 002; Jiaqi Gu 002; Yongshan Ding 001; Zirui Li; Frederic T. Chong; David Z. Pan; Song Han 003 (CoRR, 2021)

QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization. - Hanrui Wang 002; Jiaqi Gu 002; Yongshan Ding 001; Zirui Li; Frederic T. Chong; David Z. Pan; Song Han 003 (DAC, 2022)

QOC: quantum on-chip training with parameter shift and gradient pruning. - Hanrui Wang 002; Zirui Li; Jiaqi Gu 002; Yongshan Ding 001; David Z. Pan; Song Han 003 (DAC, 2022)

Towards an Antivirus for Quantum Computers. - Sanjay Deshpande; Chuanqi Xu; Theodoros Trochatos; Yongshan Ding 001; Jakub Szefer (HOST, 2022)

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. - Hanrui Wang 002; Yongshan Ding 001; Jiaqi Gu 002; Yujun Lin 001; David Z. Pan; Frederic T. Chong; Song Han 003 (HPCA, 2022)

TorchQuantum Case Study for Robust Quantum Circuits. - Hanrui Wang 002; Zhiding Liang; Jiaqi Gu 002; Zirui Li; Yongshan Ding 001; Weiwen Jiang; Yiyu Shi 001; David Z. Pan; Frederic T. Chong; Song Han 003 (ICCAD, 2022)

Variational Quantum Pulse Learning. - Zhiding Liang; Hanrui Wang 002; Jinglei Cheng; Yongshan Ding 001; Hang Ren; Zhengqi Gao; Zhirui Hu; Duane S. Boning; Xuehai Qian; Song Han 003; Weiwen Jiang; Yiyu Shi 001 (QCE, 2022)

On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks. - Hanrui Wang 002; Zirui Li; Jiaqi Gu 002; Yongshan Ding 001; David Z. Pan; Song Han 003 (CoRR, 2022)

PAN: Pulse Ansatz on NISQ Machines. - Zhiding Liang; Jinglei Cheng; Hang Ren; Hanrui Wang 002; Fei Hua; Yongshan Ding 001; Fred Chong; Song Han 003; Yiyu Shi 001; Xuehai Qian (CoRR, 2022)

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. - Hanrui Wang 002; Pengyu Liu; Jinglei Cheng; Zhiding Liang; Jiaqi Gu 002; Zirui Li; Yongshan Ding 001; Weiwen Jiang; Yiyu Shi 001; Xuehai Qian; David Z. Pan; Frederic T. Chong; et al. (CoRR, 2022)

Design of Quantum Computer Antivirus. - Sanjay Deshpande; Chuanqi Xu; Theodoros Trochatos; Hanrui Wang 002; Ferhat Erata; Song Han 003; Yongshan Ding 001; Jakub Szefer (HOST, 2023)

Systems Architecture for Quantum Random Access Memory. - Shifan Xu; Connor T. Hann; Ben Foxman; Steven M. Girvin; Yongshan Ding 001 (MICRO, 2023)

A Quantum Computer Trusted Execution Environment. - Theodoros Trochatos; Chuanqi Xu; Sanjay Deshpande; Yao Lu; Yongshan Ding 001; Jakub Szefer (IEEE Comput. Archit. Lett., 2023)

Quantum Computing: Progress and Innovation. - Gregory T. Byrd; Yongshan Ding 001 (Computer, 2023)

Hardware Architecture for a Quantum Computer Trusted Execution Environment. - Theodoros Trochatos; Chuanqi Xu; Sanjay Deshpande; Yao Lu; Yongshan Ding 001; Jakub Szefer (CoRR, 2023)

RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. - Hanrui Wang 002; Yilian Liu; Pengyu Liu; Jiaqi Gu 002; Zirui Li; Zhiding Liang; Jinglei Cheng; Yongshan Ding 001; Xuehai Qian; Yiyu Shi 001; David Z. Pan; Frederic T. Chong; et al. (CoRR, 2023)

Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers. - Hanrui Wang 002; Pengyu Liu; Kevin Shao; Dantong Li; Jiaqi Gu 002; David Z. Pan; Yongshan Ding 001; Song Han 003 (CoRR, 2023)

Dynamic Pulse Switching for Protection of Quantum Computation on Untrusted Clouds. - Theodoros Trochatos; Sanjay Deshpande; Chuanqi Xu; Yao Lu; Yongshan Ding 001; Jakub Szefer (HOST, 2024)

Protecting Quantum Computers with a Trusted Controller. - Theodoros Trochatos; Chuanqi Xu; Sanjay Deshpande; Yao Lu; Yongshan Ding 001; Jakub Szefer (QCE, 2024)

GraFeyn: Efficient Parallel Sparse Simulation of Quantum Circuits. - Sam Westrick; Pengyu Liu; Byeongjee Kang; Colin McDonald; Mike Rainey; Mingkuan Xu; Jatin Arora 002; Yongshan Ding 001; Umut A. Acar (QCE, 2024)

Efficient Quantum Gradient and Higher-order Derivative Estimation via Generalized Hadamard Test. - Dantong Li; Dikshant Dulal; Mykhailo Ohorodnikov; Hanrui Wang 002; Yongshan Ding 001 (CoRR, 2024)

NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms. - Zhiding Liang; Jinglei Cheng; Hang Ren; Hanrui Wang 002; Fei Hua; Zhixin Song; Yongshan Ding 001; Frederic T. Chong; Song Han 003; Xuehai Qian; Yiyu Shi 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

HetEC: Architectures for Heterogeneous Quantum Error Correction Codes. - Samuel Alexander Stein; Shifan Xu; Andrew W. Cross; Theodore J. Yoder; Ali Javadi-Abhari; Chenxu Liu; Kun Liu; Zeyuan Zhou; Charlie Guinn; Yufei Ding 001; Yongshan Ding 001; Ang Li 006 (ASPLOS (2), 2025)

Fat-Tree QRAM: A High-Bandwidth Shared Quantum Random Access Memory for Parallel Queries. - Shifan Xu; Alvin Lu; Yongshan Ding 001 (ASPLOS (2), 2025)

PruningQC: Boosting the Quantum Computation Fidelity by Pruning Redundant Gates. - Fang Qi; Yongshan Ding 001; Victor Bankston; Ji Liu 007; Lu Peng 001 (ACM Great Lakes Symposium on VLSI, 2025)

Quantum-Inspired Fidelity-based Divergence. - Yifeng Peng; Dantong Li; Xinyi Li; Zhiding Liang; Yongshan Ding 001; Ying Wang (CoRR, 2025)

Local Optimization of Quantum Circuits (Extended Version). - Jatin Arora 002; Mingkuan Xu; Sam Westrick; Pengyu Liu; Dantong Li; Yongshan Ding 001; Umut A. Acar (CoRR, 2025)