Yongshan Ding

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Quantum Computing

Execution Environment

Avoid Overfitting

Top Venues

Publications

Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Zhixin Song, Yongshan Ding, Frederic T. Chong, Song Han, Xuehai Qian, Yiyu Shi
NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (6) (2024)
Theodoros Trochatos, Chuanqi Xu, Sanjay Deshpande, Yao Lu, Yongshan Ding, Jakub Szefer
A Quantum Computer Trusted Execution Environment. HPCA (2024)
Theodoros Trochatos, Sanjay Deshpande, Chuanqi Xu, Yao Lu, Yongshan Ding, Jakub Szefer
Dynamic Pulse Switching for Protection of Quantum Computation on Untrusted Clouds. HOST (2024)
Gregory T. Byrd, Yongshan Ding
Quantum Computing: Progress and Innovation. Computer 56 (1) (2023)
Hanrui Wang, Yilian Liu, Pengyu Liu, Jiaqi Gu, Zirui Li, Zhiding Liang, Jinglei Cheng, Yongshan Ding, Xuehai Qian, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. CoRR (2023)
Sanjay Deshpande, Chuanqi Xu, Theodoros Trochatos, Hanrui Wang, Ferhat Erata, Song Han, Yongshan Ding, Jakub Szefer
Design of Quantum Computer Antivirus. HOST (2023)
Hanrui Wang, Pengyu Liu, Kevin Shao, Dantong Li, Jiaqi Gu, David Z. Pan, Yongshan Ding, Song Han
Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers. CoRR (2023)
Theodoros Trochatos, Chuanqi Xu, Sanjay Deshpande, Yao Lu, Yongshan Ding, Jakub Szefer
A Quantum Computer Trusted Execution Environment. IEEE Comput. Archit. Lett. 22 (2) (2023)
Theodoros Trochatos, Chuanqi Xu, Sanjay Deshpande, Yao Lu, Yongshan Ding, Jakub Szefer
Hardware Architecture for a Quantum Computer Trusted Execution Environment. CoRR (2023)
Shifan Xu, Connor T. Hann, Ben Foxman, Steven M. Girvin, Yongshan Ding
Systems Architecture for Quantum Random Access Memory. MICRO (2023)
Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han
QOC: quantum on-chip training with parameter shift and gradient pruning. DAC (2022)
Sanjay Deshpande, Chuanqi Xu, Theodoros Trochatos, Yongshan Ding, Jakub Szefer
Towards an Antivirus for Quantum Computers. CoRR (2022)
Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. HPCA (2022)
Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han
On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks. CoRR (2022)
Sanjay Deshpande, Chuanqi Xu, Theodoros Trochatos, Yongshan Ding, Jakub Szefer
Towards an Antivirus for Quantum Computers. HOST (2022)
Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian
PAN: Pulse Ansatz on NISQ Machines. CoRR (2022)
Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han
QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization. DAC (2022)
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
Variational Quantum Pulse Learning. QCE (2022)
Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han
TorchQuantum Case Study for Robust Quantum Circuits. ICCAD (2022)
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
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. CoRR (2022)
Xin-Chuan Wu, Dripto M. Debroy, Yongshan Ding, Jonathan M. Baker, Yuri Alexeev, Kenneth R. Brown, Frederic T. Chong
TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture. HPCA (2021)
Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. CoRR (2021)
Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han
RoQNN: Noise-Aware Training for Robust Quantum Neural Networks. CoRR (2021)
Yunong Shi, Pranav Gokhale, Prakash Murali, Jonathan M. Baker, Casey Duckering, Yongshan Ding, Natalie C. Brown, Christopher Chamberland, Ali Javadi-Abhari, Andrew W. Cross, David I. Schuster, Kenneth R. Brown, Margaret Martonosi, Frederic T. Chong
Resource-Efficient Quantum Computing by Breaking Abstractions. Proc. IEEE 108 (8) (2020)
Yongshan Ding, Pranav Gokhale, Sophia Fuhui Lin, Richard Rines, Thomas Propson, Frederic T. Chong
Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation. MICRO (2020)
Pranav Gokhale, Olivia Angiuli, Yongshan Ding, Kaiwen Gui, Teague Tomesh, Martin Suchara, Margaret Martonosi, Frederic T. Chong
Optimization of Simultaneous Measurement for Variational Quantum Eigensolver Applications. QCE (2020)
Yongshan Ding, Xin-Chuan Wu, Adam Holmes, Ash Wiseth, Diana Franklin, Margaret Martonosi, Frederic T. Chong
SQUARE: Strategic Quantum Ancilla Reuse for Modular Quantum Programs via Cost-Effective Uncomputation. ISCA (2020)
Yunong Shi, Pranav Gokhale, Prakash Murali, Jonathan M. Baker, Casey Duckering, Yongshan Ding, Natalie C. Brown, Christopher Chamberland, Ali Javadi-Abhari, Andrew W. Cross, David I. Schuster, Kenneth R. Brown, Margaret Martonosi, Frederic T. Chong
Resource-Efficient Quantum Computing by Breaking Abstractions. CoRR (2020)
Adam Holmes, Mohammad Reza Jokar, Ghasem Pasandi, Yongshan Ding, Massoud Pedram, Frederic T. Chong
NISQ+: Boosting quantum computing power by approximating quantum error correction. ISCA (2020)
Adam Holmes, Yongshan Ding, Ali Javadi-Abhari, Diana Franklin, Margaret Martonosi, Frederic T. Chong
Resource optimized quantum architectures for surface code implementations of magic-state distillation. Microprocess. Microsystems 67 (2019)
Pranav Gokhale, Yongshan Ding, Thomas Propson, Christopher Winkler, Nelson Leung, Yunong Shi, David I. Schuster, Henry Hoffmann, Frederic T. Chong
Partial Compilation of Variational Algorithms for Noisy Intermediate-Scale Quantum Machines. MICRO (2019)
Pranav Gokhale, Yongshan Ding, Thomas Propson, Christopher Winkler, Nelson Leung, Yunong Shi, David I. Schuster, Henry Hoffmann, Frederic T. Chong
Partial Compilation of Variational Algorithms for Noisy Intermediate-Scale Quantum Machines. CoRR (2019)
Weilong Cui, Yongshan Ding, Deeksha Dangwal, Adam Holmes, Joseph McMahan, Ali JavadiAbhari, Georgios Tzimpragos, Frederic T. Chong, Timothy Sherwood
Charm: A Language for Closed-Form High-Level Architecture Modeling. ISCA (2018)
Yongshan Ding, Adam Holmes, Ali Javadi-Abhari, Diana Franklin, Margaret Martonosi, Frederic T. Chong
Magic-State Functional Units: Mapping and Scheduling Multi-Level Distillation Circuits for Fault-Tolerant Quantum Architectures. MICRO (2018)
Yongshan Ding, Adam Holmes, Ali JavadiAbhari, Diana Franklin, Margaret Martonosi, Frederic T. Chong
Magic-State Functional Units: Mapping and Scheduling Multi-Level Distillation Circuits for Fault-Tolerant Quantum Architectures. CoRR (2018)