activity
19992026
most citedQuantum information processing for a coherent superposition state via a mixed entangled coherent channel

315 citations · 2.2k across the 72 of their papers we have counts for

collaborators

72 papers

quant-ph2026

Breaking the One-Dimensional Expressibility-Trainability Tradeoff

Kyoungho Cho, Yu-Seong Jeon, Jinhyoung Lee +1

Expressive parameterized quantum circuits (PQCs) are often designed under a dilemma: the growth of expressibility and entangling power (EP) that improves Hilbert-space coverage is…

quant-ph2023

Instability of multi-mode systems with quadratic Hamiltonians

Xuanloc Leu, Xuan-Hoai Thi Nguyen, Jinhyoung Lee

We present a novel geometric approach for determining the unique structure of a Hamiltonian and establishing an instability criterion for quantum quadratic systems. Our geometric c…

quant-ph2021★ 3 cited

Polynomial T-depth Quantum Solvability of Noisy Binary Linear Problem: From Quantum-Sample Preparation to Main Computation

Wooyeong Song, Youngrong Lim, Kabgyun Jeong +4

The noisy binary linear problem (NBLP) is known as a computationally hard problem, and therefore, it offers primitives for post-quantum cryptography. An efficient quantum NBLP algo…

quant-ph2020

Effects of white noise on Bell theorem for qudits

Arijit Dutta, Jaewan Kim, Jinhyoung Lee

We introduce two types of statistical quasi-separation between local observables to construct two-party Bell-type inequalities for an arbitrary dimensional systems and arbitrary nu…

quant-ph2020★ 9 cited

Experimental Learning of Pure Quantum States using Sequential Single-Shot Measurement Outcomes

Sang Min Lee, Hee Su Park, Jinhyoung Lee +2

We experimentally implement a machine-learning method for accurately identifying unknown pure quantum states. The method, called single-shot measurement learning, achieves the theo…

quant-ph2019★ 6 cited

Quantum solvability of noisy linear problems by divide-and-conquer strategy

Wooyeong Song, Youngrong Lim, Kabgyun Jeong +5

Noisy linear problems have been studied in various science and engineering disciplines. A class of "hard" noisy linear problems can be formulated as follows: Given a matrix $\hat{A…