Yongshan Ding
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
8
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | COMPAS: A Distributed Multi-Party SWAP Test for Parallel Quantum Algorithms. | Brayden Goldstein-Gelb, Kun Liu, John M. Martyn, Hengyun (Harry) Zhou, Yongshan Ding, Yuan Liu |
| 2026 | ISCA | Distilling Magic States in the Bicycle Architecture. | Shifan Xu, Kun Liu, Patrick Rall, Zhiyang He, Yongshan Ding |
| 2025 | ASPLOS | HetEC: Architectures for Heterogeneous Quantum Error Correction Codes. | Samuel A. Stein, Shifan Xu, Andrew W. Cross, Theodore J. Yoder, Ali Javadi-Abhari, Chenxu Liu, Kun Liu, Zeyuan Zhou, Charlie Guinn, Yufei Ding, Yongshan Ding, Ang Li |
| 2025 | ASPLOS | Fat-Tree QRAM: A High-Bandwidth Shared Quantum Random Access Memory for Parallel Queries. | Shifan Xu, Alvin Lu, Yongshan Ding |
| 2025 | QCE | Local Optimization of Quantum Circuits. | Jatin Arora, Mingkuan Xu, Sam Westrick, Pengyu Liu, Dantong Li, Yongshan Ding, Umut A. Acar |
| 2025 | QCE | Efficient Quantum Gradient and Higher-Order Derivative Estimation Via Generalized Hadamard Test. | Dantong Li, Dikshant Dulal, Mykhailo Ohorodnikov, Hanrui Wang, Yongshan Ding |
| 2025 | QCE | Surface Code Error Correction with Crosstalk Noise. | Zeyuan Zhou, Andrew Ji, Yongshan Ding |
| 2024 | HPCA | A Quantum Computer Trusted Execution Environment. | Theodoros Trochatos, Chuanqi Xu, Sanjay Deshpande, Yao Lu, Yongshan Ding, Jakub Szefer |
| 2024 | QCE | Protecting Quantum Computers with a Trusted Controller. | Theodoros Trochatos, Chuanqi Xu, Sanjay Deshpande, Yao Lu, Yongshan Ding, Jakub Szefer |
| 2024 | QCE | GraFeyn: Efficient Parallel Sparse Simulation of Quantum Circuits. | Sam Westrick, Pengyu Liu, Byeongjee Kang, Colin McDonald, Mike Rainey, Mingkuan Xu, Jatin Arora, Yongshan Ding, Umut A. Acar |
| 2023 | MICRO | Systems Architecture for Quantum Random Access Memory. | Shifan Xu, Connor T. Hann, Ben Foxman, Steven M. Girvin, Yongshan Ding |
| 2022 | DAC | QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization. | Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han |
| 2022 | DAC | QOC: quantum on-chip training with parameter shift and gradient pruning. | Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han |
| 2022 | HPCA | QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. | Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han |
| 2022 | ICCAD | TorchQuantum Case Study for Robust Quantum Circuits. | Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han |
| 2022 | QCE | Variational Quantum Pulse Learning. | Zhiding Liang, Hanrui Wang, Jinglei Cheng, Yongshan Ding, Hang Ren, Zhengqi Gao, Zhirui Hu, Duane S. Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi |
| 2021 | HPCA | TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture. | Xin-Chuan Wu, Dripto M. Debroy, Yongshan Ding, Jonathan M. Baker, Yuri Alexeev, Kenneth R. Brown, Frederic T. Chong |
| 2020 | ISCA | SQUARE: Strategic Quantum Ancilla Reuse for Modular Quantum Programs via Cost-Effective Uncomputation. | Yongshan Ding, Xin-Chuan Wu, Adam Holmes, Ash Wiseth, Diana Franklin, Margaret Martonosi, Frederic T. Chong |
| 2020 | ISCA | NISQ+: Boosting quantum computing power by approximating quantum error correction. | Adam Holmes, Mohammad Reza Jokar, Ghasem Pasandi, Yongshan Ding, Massoud Pedram, Frederic T. Chong |
| 2020 | MICRO | Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation. | Yongshan Ding, Pranav Gokhale, Sophia Fuhui Lin, Richard Rines, Thomas Propson, Frederic T. Chong |
| 2020 | QCE | Optimization of Simultaneous Measurement for Variational Quantum Eigensolver Applications. | Pranav Gokhale, Olivia Angiuli, Yongshan Ding, Kaiwen Gui, Teague Tomesh, Martin Suchara, Margaret Martonosi, Frederic T. Chong |
| 2019 | MICRO | Partial Compilation of Variational Algorithms for Noisy Intermediate-Scale Quantum Machines. | Pranav Gokhale, Yongshan Ding, Thomas Propson, Christopher Winkler, Nelson Leung, Yunong Shi, David I. Schuster, Henry Hoffmann, Frederic T. Chong |
| 2018 | ISCA | Charm: A Language for Closed-Form High-Level Architecture Modeling. | Weilong Cui, Yongshan Ding, Deeksha Dangwal, Adam Holmes, Joseph McMahan, Ali Javadi-Abhari, Georgios Tzimpragos, Frederic T. Chong, Timothy Sherwood |
| 2018 | MICRO | Magic-State Functional Units: Mapping and Scheduling Multi-Level Distillation Circuits for Fault-Tolerant Quantum Architectures. | Yongshan Ding, Adam Holmes, Ali Javadi-Abhari, Diana Franklin, Margaret Martonosi, Frederic T. Chong |
| 2008 | ISNN | Application of Wavelet Neural Networks on Vibration Fault Diagnosis for Wind Turbine Gearbox. | Qian Huang, Dongxiang Jiang, Liangyou Hong, Yongshan Ding |
| 2006 | ISNN | Application of RBF and SOFM Neural Networks on Vibration Fault Diagnosis for Aero-engines. | Kai Li, Dongxiang Jiang, Kai Xiong, Yongshan Ding |