Zobrazeno 1 - 10
of 729
pro vyhledávání: '"Lee Dongjin"'
Publikováno v:
Nanophotonics, Vol 12, Iss 3, Pp 531-538 (2023)
An on-chip quantum light source based on spontaneous four-wave mixing is an essential element for developing quantum photonic integrated circuit technology, which has the advantage of no connection loss owing to the integration of the source into pho
Externí odkaz:
https://doaj.org/article/83d69cab3e5f41f19bd701411ebd080c
This work presents a design under uncertainty approach for a char combustion process in a limited-data setting, where simulations of the fluid-solid coupled system are computationally expensive. We integrate a polynomial dimensional decomposition (PD
Externí odkaz:
http://arxiv.org/abs/2411.01429
In this paper, we introduce the finite difference weighted essentially non-oscillatory (WENO) scheme based on the neural network for hyperbolic conservation laws. We employ the supervised learning and design two loss functions, one with the mean squa
Externí odkaz:
http://arxiv.org/abs/2407.06333
It is known that particles with exotic properties can emerge in systems made of simple constituents such as qubits, due to long-range quantum entanglement. In this paper, we provide quantitative characterizations of entanglement necessary for emergen
Externí odkaz:
http://arxiv.org/abs/2405.07970
It is commonly believed that logical states of quantum error-correcting codes have to be highly entangled such that codes capable of correcting more errors require more entanglement to encode a qubit. Here we show that this belief may or may not be t
Externí odkaz:
http://arxiv.org/abs/2405.01332
Autor:
Lee, Dongjin, Yoshida, Beni
Quantum measurement has conventionally been regarded as the final step in quantum information processing, which is essential for reading out the processed information but collapses the quantum state into a classical state. However, recent studies hav
Externí odkaz:
http://arxiv.org/abs/2402.00145
Publikováno v:
Light: Science & Applications, 13, 90 (2024)
The examination of entanglement across various degrees of freedom has been pivotal in augmenting our understanding of fundamental physics, extending to high dimensional quantum states, and promising the scalability of quantum technologies. In this pa
Externí odkaz:
http://arxiv.org/abs/2311.00338
Real-world graphs are dynamic, constantly evolving with new interactions, such as financial transactions in financial networks. Temporal Graph Neural Networks (TGNNs) have been developed to effectively capture the evolving patterns in dynamic graphs.
Externí odkaz:
http://arxiv.org/abs/2308.10779
In uncertainty quantification, variance-based global sensitivity analysis quantitatively determines the effect of each input random variable on the output by partitioning the total output variance into contributions from each input. However, computin
Externí odkaz:
http://arxiv.org/abs/2307.07486
Forward simulation-based uncertainty quantification that studies the distribution of quantities of interest (QoI) is a crucial component for computationally robust engineering design and prediction. There is a large body of literature devoted to accu
Externí odkaz:
http://arxiv.org/abs/2303.06422