Seunghyeok Oh

most citedA Tutorial on Quantum Convolutional Neural Networks (QCNN)

14 citations · 14 across the 2 of their papers we have counts for

collaborators

3 papers

cs.DS2022

Parameterized Algorithm for the Disjoint Path Problem on Planar Graphs: Exponential in $k^{2}$ and Linear in $n$

Kyungjin Cho, Eunjin Oh, Seunghyeok Oh

In this paper, we study the \textsf{Planar Disjoint Paths} problem: Given an undirected planar graph $G$ with $n$ vertices and a set $T$ of $k$ pairs $(s_{i}, t_{i})_{i = 1}^{k}$ of vertice…

quant-ph2020★ 14 cited

A Tutorial on Quantum Convolutional Neural Networks (QCNN)

Seunghyeok Oh, Jaeho Choi, Joongheon Kim

Convolutional Neural Network (CNN) is a popular model in computer vision and has the advantage of making good use of the correlation information of data. However, CNN is challengin…

cs.OH2020

Quantum Approximation for Wireless Scheduling

Jaeho Choi, Seunghyeok Oh, Joongheon Kim

This paper proposes a quantum approximate optimization algorithm (QAOA) method for wireless scheduling problems. The QAOA is one of the promising hybrid quantum-classical algorithm…

Parameterized Algorithm for the Disjoint Path Problem on Planar Graphs: Exponential in k2 and Linear in n

A Tutorial on Quantum Convolutional Neural Networks (QCNN)

Quantum Approximation for Wireless Scheduling

Parameterized Algorithm for the Disjoint Path Problem on Planar Graphs: Exponential in $k^{2}$ and Linear in $n$