Samuel Alexander Stein

According to our database, Samuel Alexander Stein authored at least 20 papers between 2020 and 2024.

Collaborative distances:

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

2024

A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity.

Ryan L'Abbate, Anthony D'Onofrio Jr., Samuel Alexander Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao

CoRR, 2024

Benchmarking Optimizers for Qumode State Preparation with Variational Quantum Algorithms.

Shuwen Kan, Miguel Palma, Zefan Du, Samuel Alexander Stein, Chenxu Liu, Juntao Chen, Ang Li, Ying Mao

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

Scalable Circuit Cutting and Scheduling in a Resource-Constrained and Distributed Quantum System.

Shuwen Kan, Zefan Du, Miguel Palma, Samuel Alexander Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li, Ying Mao

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

2023

Microarchitectures for Heterogeneous Superconducting Quantum Computers.

Samuel Alexander Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James A. Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Frederic T. Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco

CoRR, 2023

A Reference Implementation for a Quantum Message Passing Interface.

Yue Shi, Tommy Nguyen, Samuel Alexander Stein, Tim Stavenger, Marvin Warner, Martin Roetteler, Torsten Hoefler, Ang Li

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices.

Fei Hua, Meng Wang, Gushu Li, Bo Peng, Chenxu Liu, Muqing Zheng, Samuel Alexander Stein, Yufei Ding, Eddy Z. Zhang, Travis S. Humble, Ang Li

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems.

Samuel Alexander Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James A. Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Fred Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco

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

Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum.

Samuel Alexander Stein, Nathan Wiebe, Yufei Ding, James A. Ang, Ang Li

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System.

Anthony D'Onofrio Jr., Amir Hossain, Lesther Santana, Naseem Machlovi, Samuel Alexander Stein, Jinwei Liu, Ang Li, Ying Mao

Proceedings of the IEEE International Conference on Big Data, 2023

2022

GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm.

Yanfei Li, Tong Geng, Samuel Alexander Stein, Ang Li, Huimin Yu

CoRR, 2022

QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity.

Samuel Alexander Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Shuai Xu, Caiwen Ding

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

EQC: ensembled quantum computing for variational quantum algorithms.

Samuel Alexander Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan A. Baker, James A. Ang, Ang Li

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

Benchmarking Quantum Processor Performance through Quantum Distance Metrics Over An Algorithm Suite.

Samuel Alexander Stein, Nathan Wiebe, James A. Ang, Ang Li

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles.

Samuel Alexander Stein, Nathan Wiebe, James A. Ang, Ang Li

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation.

Samuel Alexander Stein, Ying Mao, James A. Ang, Ang Li

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

2021

QuGAN: A Quantum State Fidelity based Generative Adversarial Network.

Samuel Alexander Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang, Shuai Xu

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

A Hybrid System for Learning Classical Data in Quantum States.

Samuel Alexander Stein, Ryan L'Abbate, Wenrui Mu, Yue Liu, Betis Baheri, Ying Mao, Qiang Guan, Ang Li, Bo Fang

Proceedings of the IEEE International Performance, 2021

TQEA: Temporal Quantum Error Analysis.

Betis Baheri, Daniel Chen, Bo Fang, Samuel Alexander Stein, Vipin Chaudhary, Ying Mao, Shuai Xu, Ang Li, Qiang Guan

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

2020

Quantum-Inspired Classical Algorithm for Slow Feature Analysis.

Daniel Chen, Yekun Xu, Betis Baheri, Samuel Alexander Stein, Chuan Bi, Ying Mao, Qiang Quan, Shuai Xu

CoRR, 2020

A College Major Recommendation System.

Samuel Alexander Stein, Gary M. Weiss, Yiwen Chen, Daniel D. Leeds

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020