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Samuel Alexander Stein
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2020 – today
- 2024
- [i5]Shuwen Kan, Zefan Du, Miguel Palma, Samuel Alexander Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li, Ying Mao:
Scalable Circuit Cutting and Scheduling in a Resource-constrained and Distributed Quantum System. CoRR abs/2405.04514 (2024) - 2023
- [c14]Samuel Alexander Stein, Nathan Wiebe
, Yufei Ding
Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum. ISCA 2023: 8:1-8:13 - [c13]Samuel Alexander Stein, Sara Sussman
HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems. MICRO 2023: 539-554 - [c12]Tommy Nguyen, Yue Shi, Samuel Alexander Stein, Tim Stavenger, Marvin Warner, Martin Roetteler, Torsten Hoefler, Ang Li:
A Reference Implementation for a Quantum Message Passing Interface. QCE 2023: 292-293 - [c11]Yue Shi
A Reference Implementation for a Quantum Message Passing Interface. SC Workshops 2023: 1420-1425 - [c10]Fei Hua
QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices. SC Workshops 2023: 1468-1477 - [i4]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:
Microarchitectures for Heterogeneous Superconducting Quantum Computers. CoRR abs/2305.03243 (2023) - 2022
- [c9]Samuel Alexander Stein, Ying Mao, James A. Ang, Ang Li:
QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation. SEC 2022: 368-374 - [c8]Samuel Alexander Stein, Nathan Wiebe, James A. Ang, Ang Li:
Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles. IPDPS Workshops 2022: 616-617 - [c7]Samuel Alexander Stein, Nathan Wiebe, James A. Ang, Ang Li:
Benchmarking Quantum Processor Performance through Quantum Distance Metrics Over An Algorithm Suite. IPDPS Workshops 2022: 618-624 - [c6]Samuel Alexander Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan A. Baker
EQC: ensembled quantum computing for variational quantum algorithms. ISCA 2022: 59-71 - [c5]Samuel Alexander Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Shuai Xu, Caiwen Ding:
QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity. MLSys 2022 - [i3]Yanfei Li, Tong Geng, Samuel Alexander Stein, Ang Li, Huimin Yu:
GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm. CoRR abs/2206.03291 (2022) - [i2]Samuel Alexander Stein, Ying Mao, James A. Ang, Ang Li:
QuCNN : A Quantum Convolutional Neural Network with Entanglement Based Backpropagation. CoRR abs/2210.05443 (2022) - 2021
- [c4]Betis Baheri, Daniel Chen, Bo Fang, Samuel Alexander Stein, Vipin Chaudhary, Ying Mao, Shuai Xu, Ang Li, Qiang Guan:
TQEA: Temporal Quantum Error Analysis. DSN (Supplements) 2021: 65-67 - [c3]Samuel Alexander Stein, Ryan L'Abbate, Wenrui Mu, Yue Liu, Betis Baheri, Ying Mao, Qiang Guan, Ang Li, Bo Fang:
A Hybrid System for Learning Classical Data in Quantum States. IPCCC 2021: 1-7 - [c2]Samuel Alexander Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang, Shuai Xu:
QuGAN: A Quantum State Fidelity based Generative Adversarial Network. QCE 2021: 71-81 - 2020
- [c1]Samuel Alexander Stein, Gary M. Weiss, Yiwen Chen, Daniel D. Leeds:
A College Major Recommendation System. RecSys 2020: 640-644 - [i1]Daniel Chen, Yekun Xu, Betis Baheri, Samuel Alexander Stein, Chuan Bi, Ying Mao, Qiang Quan, Shuai Xu:
Quantum-Inspired Classical Algorithm for Slow Feature Analysis. CoRR abs/2012.00824 (2020)
Coauthor Index
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