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19922026
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quant-ph2026

Characterization and cancellation of power-line-induced motional-mode frequency noise in a trapped-ion system

Jaehun You, Jiyong Kang, Kyunghye Kim +2

The stability of motional-mode frequency is essential for realizing high-fidelity quantum gates in trapped-ion quantum computing. While broadband Gaussian noise has been extensivel…

quant-ph2025

Loophole-free Bell-inequality violation between atomic states in cavity-QED systems mediated by hybrid atom-light entanglement

Pei-Zhe Li, Soumyakanti Bose, Hyunseok Jeong +3

We present a feasible and scalable approach to testing Bell nonlocality and implementing device-independent quantum key distribution (DI-QKD) between distant atomic states in cavit…

quant-ph2025★ 1 cited

Highly Tunable Two-Qubit Interactions in Si/SiGe Quantum Dots by Interchanging the Roles of Qubit-Defining Gates

Jaemin Park, Hyeongyu Jang, Hanseo Sohn +5

Silicon quantum dot spin qubits have become a promising platform for scalable quantum computing because of their small size and compatibility with industrial semiconductor manufact…

quant-ph2025★ 1 cited

Photonic Hybrid Quantum Computing

Jaehak Lee, Srikrishna Omkar, Yong Siah Teo +4

Photons are a ubiquitous carrier of quantum information: they are fast, suffer minimal decoherence, and do not require huge cryogenic facilities. Nevertheless, their intrinsically…

quant-ph2025

Information-theoretic analysis of complex eigenmodes across avoided crossings in open microcavities

Kyu-Won Park, Soojoon Lee, Kabgyun Jeong

Avoided crossings (ACs) are hallmark signatures of mode interaction in quantum and wave systems. Open microcavities whose resonances are naturally described as quasi-normal modes (…

quant-ph2025★ 1 cited

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,…