Wai-Keong Mok

According to our database, Wai-Keong Mok authored at least 5 papers between 2021 and 2024.

Collaborative distances:

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

2024

Pseudorandom density matrices.

Nikhil Bansal, Wai-Keong Mok, Kishor Bharti, Dax Enshan Koh, Tobias Haug

CoRR, 2024

2023

Efficient option pricing with unary-based photonic computing chip and generative adversarial learning.

Hui Zhang, Lingxiao Wan, Sergi Ramos-Calderer, Yuancheng Zhan, Wai-Keong Mok, Hong Cai, Feng Gao, Xianshu Luo, Guo-Qiang Lo, Leong Chuan Kwek, José Ignacio Latorre, Ai Qun Liu

CoRR, 2023

2022

Quantum Switchboard with Coupled-Cavity Array.

Wai-Keong Mok, Leong-Chuan Kwek

Entropy, 2022

2021

Classifying global state preparation via deep reinforcement learning.

Tobias Haug, Wai-Keong Mok, Jia-Bin You, Wenzu Zhang, Ching Eng Png, Leong-Chuan Kwek

Mach. Learn. Sci. Technol., 2021

Noisy intermediate-scale quantum (NISQ) algorithms.

Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, Tobias Haug, Sumner Alperin-Lea, Abhinav Anand, Matthias Degroote, Hermanni Heimonen, Jakob S. Kottmann, Tim Menke, Wai-Keong Mok, Sukin Sim, Leong-Chuan Kwek, Alán Aspuru-Guzik

CoRR, 2021