Qasmbench: A low-level qasm benchmark suite for nisq evaluation and simulation A Li, S Stein, S Krishnamoorthy, J Ang arXiv preprint arXiv:2005.13018, 2020 | 144* | 2020 |
Qugan: A quantum state fidelity based generative adversarial network SA Stein, B Baheri, D Chen, Y Mao, Q Guan, A Li, B Fang, S Xu 2021 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2021 | 79* | 2021 |
Quclassi: A hybrid deep neural network architecture based on quantum state fidelity SA Stein, B Baheri, D Chen, Y Mao, Q Guan, A Li, S Xu, C Ding Proceedings of Machine Learning and Systems 4, 251-264, 2022 | 52 | 2022 |
A hybrid system for learning classical data in quantum states SA Stein, R L’Abbate, W Mu, Y Liu, B Baheri, Y Mao, G Qiang, A Li, ... 2021 IEEE International Performance, Computing, and Communications …, 2021 | 39 | 2021 |
EQC: ensembled quantum computing for variational quantum algorithms S Stein, N Wiebe, Y Ding, P Bo, K Kowalski, N Baker, J Ang, A Li Proceedings of the 49th annual international symposium on computer …, 2022 | 37 | 2022 |
Architectures for multinode superconducting quantum computers J Ang, G Carini, Y Chen, I Chuang, MA DeMarco, SE Economou, ... arXiv preprint arXiv:2212.06167, 2022 | 26 | 2022 |
A College Major Recommendation System SA Stein, G M. Weiss, Y Chen, DD Leeds Proceedings of the 14th ACM Conference on Recommender Systems, 640-644, 2020 | 12 | 2020 |
Qucnn: A quantum convolutional neural network with entanglement based backpropagation S Stein, Y Mao, J Ang, A Li 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 368-374, 2022 | 11 | 2022 |
TQEA: temporal quantum error analysis B Baheri, D Chen, B Fang, SA Stein, V Chaudhary, Y Mao, S Xu, A Li, ... 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems …, 2021 | 9 | 2021 |
GAAF: searching activation functions for binary neural networks through genetic algorithm Y Li, T Geng, S Stein, A Li, H Yu Tsinghua Science and Technology 28 (1), 207-220, 2022 | 8 | 2022 |
A flow sheet for the conversion of lunar regolith using fluorine gas EM Turan, SA Stein, R Maharaj, KP Möller Advances in Space Research 65 (7), 1852-1862, 2020 | 8 | 2020 |
A hybrid system for learning classical data in quantum states. In 2021 IEEE International Performance, Computing, and Communications Conference (IPCCC)(2021) SA Stein, R L’Abbate, W Mu, Y Liu, B Baheri, Y Mao, G Qiang, A Li, ... IEEE, pp. 1ś7, 0 | 5 | |
Distributed quantum learning with co-management in a multi-tenant quantum system A D’Onofrio, A Hossain, L Santana, N Machlovi, S Stein, J Liu, A Li, Y Mao 2023 IEEE International Conference on Big Data (BigData), 221-228, 2023 | 4 | 2023 |
Quantum Memory: A Missing Piece in Quantum Computing Units C Liu, M Wang, SA Stein, Y Ding, A Li arXiv preprint arXiv:2309.14432, 2023 | 4 | 2023 |
Q-beep: Quantum bayesian error mitigation employing poisson modeling over the hamming spectrum S Stein, N Wiebe, Y Ding, J Ang, A Li Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 4 | 2023 |
Microarchitectures for heterogeneous superconducting quantum computers S Stein, S Sussman, T Tomesh, C Guinn, E Tureci, SF Lin, W Tang, J Ang, ... arXiv preprint arXiv:2305.03243, 2023 | 4 | 2023 |
A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity R L'Abbate, A D'Onofrio, S Stein, SYC Chen, A Li, PY Chen, J Chen, ... IEEE Transactions on Quantum Engineering, 2024 | 3 | 2024 |
Quantum-inspired classical algorithm for slow feature analysis D Chen, Y Xu, B Baheri, SA Stein, C Bi, Y Mao, Q Quan, S Xu arXiv preprint arXiv:2012.00824, 2020 | 3 | 2020 |
HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems S Stein, S Sussman, T Tomesh, C Guinn, E Tureci, SF Lin, W Tang, J Ang, ... Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023 | 2 | 2023 |
Multi-mode Cavity Centric Architectures for Quantum Simulation S Stein, F Hua, C Liu, C Guinn, J Ang, E Zhang, S Chakram, Y Ding, A Li arXiv preprint arXiv:2309.15994, 2023 | 2 | 2023 |