activity
20242026
most citedDiabatic quantum annealing for training energy-based generative models

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Autonomous Quantum Error Correction of Spin-Oscillator Hybrid Qubits

Sungjoo Cho, Ju-yeon Gyhm, Hyukjoon Kwon +1

We propose a novel measurement-free scheme for stabilizing a spin-oscillator hybrid qubit via autonomous quantum error correction. The engineered Lindbladian renders the code space…

cond-mat.stat-mech2026

Boltzmann Sampling by Diabatic Quantum Annealing

Ju-Yeon Gyhm, Gilhan Kim, Hyukjoon Kwon +1

Boltzmann sampling is a central component of many computational frameworks, including numerous algorithms in machine learning. Although quantum annealers have been investigated as…

quant-ph2025

Diabatic quantum annealing for training energy-based generative models

Gilhan Kim, Ju-Yeon Gyhm, Daniel K. Park

Energy-based generative models, such as restricted Boltzmann machines (RBMs), require unbiased Boltzmann samples for effective training. Classical Markov chain Monte Carlo methods,…

quant-ph2025

Gaussian Open Quantum Dynamics and Isomorphism to Superconformal Symmetry

Ju-Yeon Gyhm, Dario Rosa, Dominik Šafránek

Understanding the Lie algebraic structure of a physical problem often makes it easier to find its solution. In this paper, we focus on the Lie algebra of Gaussian-conserving supero…

quant-ph2025

Fundamental Scaling Limit in Critical Quantum Metrology

Ju-Yeon Gyhm, Hyukjoon Kwon, Myung-Joong Hwang

Critical quantum metrology aims to harness critical properties near quantum phase transitions to enhance parameter estimation precision. However, critical slowing down inherently l…