Protocol for secure quantum machine learning at a distant place. - Jeongho Bang; Seung-Woo Lee; Hyunseok Jeong (Quantum Inf. Process., 2015)

A quantum algorithm for obtaining the lowest eigenstate of a Hamiltonian assisted with an ancillary qubit system. - Jeongho Bang; Seung-Woo Lee; Chang-Woo Lee; Hyunseok Jeong (Quantum Inf. Process., 2015)

Two-particle indistinguishability and identification of boson and fermion species: a Fisher information approach. - Su-Yong Lee; Jeongho Bang; Jaewan Kim (Quantum Inf. Process., 2019)

Tangible reduction in learning sample complexity with large classical samples and small quantum system. - Wooyeong Song; Marcin Wiesniak; Nana Liu; Marcin Pawlowski 002; Jin-Hyoung Lee; Jaewan Kim; Jeongho Bang (Quantum Inf. Process., 2021)

Highly pure 4-qubit states fully integrated in a programmable silicon-photonic chip. - Jong-Moo Lee; Jiho Park; Jeongho Bang; Young-Ik Sohn; Alessio Baldazzi; Matteo Sanna; Stefano Azzini; Lorenzo Pavesi (OFC, 2024)

Ensuring superior learning outcomes and data security for authorized learner. - Jeongho Bang; Wooyeong Song; Kyujin Shin; Yong-Su Kim (CoRR, 2025)

Resource-compact time-optimal quantum computation. - Taewan Kim; Kyunghyun Baek; Yongsoo Hwang; Jeongho Bang (Quantum Inf. Process., 2025)