Purification of entangled coherent states. - Hyunseok Jeong; M. S. Kim 001 (Quantum Inf. Comput., 2002)

Bypassing State Initialisation in Perfect State Transfer Protocols on Spin-Chains. - Carlo Di Franco; Mauro Paternostro; M. S. Kim 001 (TQC, 2010)

Observation of quantum interference in the plasmonic Hong-Ou-Mandel effect. - Yannick Sonnefraud; Giuliana Di Martino; Mark Tame; Stéphane Kéna-Cohen; Frederik Dieleman; Sahin K. Özdemir; Myungshik Kim; Stefan A. Maier (ICTON, 2014)

Quantum correlations for anonymous metrology. - A. J. Paige; Benjamin Yadin; M. S. Kim 001 (Quantum, 2019)

Efficient Approximate Quantum State Tomography with Basis Dependent Neural-Networks. - Alistair W. R. Smith; Johnnie Gray; M. S. Kim 001 (CoRR, 2020)

Capacity and quantum geometry of parametrized quantum circuits. - Tobias Haug; Kishor Bharti; M. S. Kim 001 (CoRR, 2021)

Optimal training of variational quantum algorithms without barren plateaus. - Tobias Haug; M. S. Kim 001 (CoRR, 2021)

Large-scale quantum machine learning. - Tobias Haug; Chris N. Self; M. S. Kim 001 (CoRR, 2021)

Quantum one-time tables for unconditionally secure qubit-commitment. - Seok Hyung Lie; Hyukjoon Kwon; M. S. Kim 001; Hyunseok Jeong (Quantum, 2021)

Faster variational quantum algorithms with quantum kernel-based surrogate models. - Alistair W. R. Smith; A. J. Paige; M. S. Kim 001 (CoRR, 2022)

Faster Born probability estimation via gate merging and frame optimisation. - Nikolaos Koukoulekidis; Hyukjoon Kwon; Hyejung H. Jee; David Jennings; M. S. Kim 001 (Quantum, 2022)

Generalization with quantum geometry for learning unitaries. - Tobias Haug; M. S. Kim 001 (CoRR, 2023)

Quantum machine learning of large datasets using randomized measurements. - Tobias Haug; Chris N. Self; M. S. Kim 001 (Mach. Learn. Sci. Technol., 2023)