15 citations · 45 across the 8 of their papers we have counts for
10 papers
Prototype-Guided Optimization of Quantum Data Embeddings with Linear Cost
Seokhoon Jeong, Daniel K. Park
In supervised quantum machine learning with classical data, classification performance critically depends on the geometry induced by quantum data embedding. Existing data-adaptive…
Enhanced Maximum Independent Set Preparation with Rydberg Atoms Guided by the Spectral Gap
Seokho Jeong, Minhyuk Kim
Adiabatic quantum computation with Rydberg atoms provides a natural route for solving combinatorial optimization problems such as the maximum independent set (MIS). However, its pe…
Optimizing Quantum Data Embeddings for Ligand-Based Virtual Screening
Junggu Choi, Tak Hur, Seokhoon Jeong +5
Effective molecular representations are essential for ligand-based virtual screening. We investigate how quantum data embedding strategies can improve this task by developing and e…
Quantum-Enhanced Simulated Annealing Using Rydberg Atoms
Seokho Jeong, Juyoung Park, Jaewook Ahn
Quantum-classical hybrid algorithms offer a promising strategy for tackling computationally challenging problems, such as the maximum independent set (MIS) problem that plays a cru…
Fast and reliable atom transport by optical tweezers
Sunhwa Hwang, Hansub Hwang, Kangjin Kim +4
Movable single atoms have drawn significant attention for their potentials as flying quantum memory in non-local, dynamic quantum computing architectures. However, when dynamic opt…
Programming higher-order interactions of Rydberg atoms
Andrew Byun, Seokho Jeong, Jaewook Ahn
Higher-order interactions in spin-based Hamiltonians are crucial in addressing numerous fundamentally significant physical problems. In this work, Rydberg-atom graph gadgets are in…
A Rydberg-atom approach to the integer factorization problem
Juyoung Park, Seokho Jeong, Minhyuk Kim +6
The task of factoring integers poses a significant challenge in modern cryptography, and quantum computing holds the potential to efficiently address this problem compared to class…
Rydberg-atom graphs for quadratic unconstrained binary optimization problems
Andrew Byun, Junwoo Jung, Kangheun Kim +4
There is a growing interest in harnessing the potential of the Rydberg-atom system to address complex combinatorial optimization challenges. Here we present an experimental demonst…
Quantum Programming of the Satisfiability Problem with Rydberg Atom Graphs
Seokho Jeong, Minhyuk Kim, Minki Hhan +1
Finding a quantum computing method to solve nondeterministic polynomial time (NP)-complete problems is currently of paramount importance in quantum information science. Here an exp…
Rydberg wire gates for universal quantum computation
Seokho Jeong, Xiao-Feng Shi, Minhyuk Kim +1
Rydberg atom arrays offer flexible geometries of strongly-interacting neutral atoms, which are useful for many quantum applications such as quantum simulation and quantum computati…