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; et al. (CoRR, 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)

Quantum Switchboard with Coupled-Cavity Array. - Wai-Keong Mok; Leong-Chuan Kwek (Entropy, 2022)

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)

Pseudorandom density matrices. - Nikhil Bansal 005; Wai-Keong Mok; Kishor Bharti; Dax Enshan Koh; Tobias Haug (CoRR, 2024)

Pseudorandom quantum authentication. - Tobias Haug; Nikhil Bansal 005; Wai-Keong Mok; Dax Enshan Koh; Kishor Bharti (CoRR, 2025)