Yen-Chi (Samuel) Chen

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725
P.O. Box 5000
Upton, NY 11973-5000

ychen@bnl.gov

Expertise | Research | Education | Appointments | Publications

Expertise

• Quantum Computation and Quantum Information 

• Machine Learning 

Research Activities

• Quantum Reinforcement Learning 

• Quantum Machine Learning for High-Energy Physics 

• Machine Learning for Quantum Computing

• Adversarial Machine Learning 

Education

• Ph.D in Physics, National Taiwan University, 2020 

• M.D. in Medicine, National Taiwan University, 2016 

• B.S in Physics, National Taiwan University, 2016 

Professional Appointments

Brookhaven National Laboratory

Apr 2021 - present , Assistant Computational Scientist, Computational Science Initiative

Feb 2020 - Mar 2021, Sr Technology Analyst, Computational Science Initiative

Selected Publications

• Chen SY-C, Yang C-HH, Qi J, Chen P-Y, Ma X, Goan H-S (2020) Variational Quantum Circuits for Deep Reinforcement Learning. IEEE Access 8:141007–141024. doi: 10.1109/access.2020.3010470
• Chen SY-C, Yoo S (2021) Federated Quantum Machine Learning. Entropy 23:460. doi: 10.3390/e23040460
• Yang C-HH, Qi J, Chen SY-C, Chen P-Y, Siniscalchi SM, Ma X, Lee C-H (2021) Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). doi: 10.1109/icassp39728.2021.9413453
• Wu SL, Chan J, Guan W, Sun S, Wang A, Zhou C, Livny M, Carminati F, Di Meglio A, Li ACY, Lykken JD, Spentzouris P, Chen SY-C, Yoo S, Wei T-C (2021) Application of quantum machine learning using the quantum variational classifier method to high energy physics analysis at the LHC on IBM quantum computer simulator and hardware with 10 qubits. Journal of Physics G: Nuclear and Particle Physics. doi: 10.1088/1361-6471/ac1391
• Nghiem NA, Chen SY-C, Wei T-C (2021) Unified framework for quantum classification. Physical Review Research. doi: 10.1103/physrevresearch.3.033056
• Chen SY-C, Huang C-M, Hsing C-W, Kao Y-J (2021) An end-to-end trainable hybrid classical-quantum classifier. Machine Learning: Science and Technology. doi: 10.1088/2632-2153/ac104d