Yongshan Ding

According to our database, Yongshan Ding authored at least 33 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms.

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

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2024

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

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

CoRR, 2024

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

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Protecting Quantum Computers with a Trusted Controller.

Theodoros Trochatos, Chuanqi Xu, Sanjay Deshpande, Yao Lu, Yongshan Ding, Jakub Szefer

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Dynamic Pulse Switching for Protection of Quantum Computation on Untrusted Clouds.

Theodoros Trochatos, Sanjay Deshpande, Chuanqi Xu, Yao Lu, Yongshan Ding, Jakub Szefer

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2024

2023

Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers.

Hanrui Wang, Pengyu Liu, Kevin Shao, Dantong Li, Jiaqi Gu, David Z. Pan, Yongshan Ding, Song Han

CoRR, 2023

RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training.

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

CoRR, 2023

Hardware Architecture for a Quantum Computer Trusted Execution Environment.

Theodoros Trochatos, Chuanqi Xu, Sanjay Deshpande, Yao Lu, Yongshan Ding, Jakub Szefer

CoRR, 2023

Quantum Computing: Progress and Innovation.

Gregory T. Byrd, Yongshan Ding

Computer, 2023

A Quantum Computer Trusted Execution Environment.

Theodoros Trochatos, Chuanqi Xu, Sanjay Deshpande, Yao Lu, Yongshan Ding, Jakub Szefer

IEEE Comput. Archit. Lett., 2023

Systems Architecture for Quantum Random Access Memory.

Shifan Xu, Connor T. Hann, Ben Foxman, Steven M. Girvin, Yongshan Ding

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Design of Quantum Computer Antivirus.

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

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2023

2022

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

CoRR, 2022

PAN: Pulse Ansatz on NISQ Machines.

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

CoRR, 2022

On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks.

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

CoRR, 2022

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

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

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

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits.

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

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

Towards an Antivirus for Quantum Computers.

Sanjay Deshpande, Chuanqi Xu, Theodoros Trochatos, Yongshan Ding, Jakub Szefer

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2022

QOC: quantum on-chip training with parameter shift and gradient pruning.

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

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

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

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

RoQNN: Noise-Aware Training for Robust Quantum Neural Networks.

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

CoRR, 2021

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

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

Quantum Computer Systems: Research for Noisy Intermediate-Scale Quantum Computers

Yongshan Ding, Frederic T. Chong

Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, ISBN: 978-3-031-01765-0, 2020

Resource-Efficient Quantum Computing by Breaking Abstractions.

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

Proc. IEEE, 2020

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

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2020

Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation.

Yongshan Ding, Pranav Gokhale, Sophia Fuhui Lin, Richard Rines, Thomas Propson, Frederic T. Chong

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

NISQ+: Boosting quantum computing power by approximating quantum error correction.

Adam Holmes, Mohammad Reza Jokar, Ghasem Pasandi, Yongshan Ding, Massoud Pedram, Frederic T. Chong

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

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

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2019

Resource optimized quantum architectures for surface code implementations of magic-state distillation.

Adam Holmes, Yongshan Ding, Ali Javadi-Abhari, Diana Franklin, Margaret Martonosi, Frederic T. Chong

Microprocess. Microsystems, 2019

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

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

2018

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

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

Charm: A Language for Closed-Form High-Level Architecture Modeling.

Weilong Cui, Yongshan Ding, Deeksha Dangwal, Adam Holmes, Joseph McMahan, Ali JavadiAbhari, Georgios Tzimpragos, Frederic T. Chong, Timothy Sherwood

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018