Zobrazeno 1 - 10
of 748
pro vyhledávání: '"Kim Donghoon"'
Autor:
Kim, Donghoon, Kuwahara, Tomotaka
The entanglement area law is a universal principle that characterizes the information structure in quantum many-body systems and serves as the foundation for modern algorithms based on tensor network representations. Historically, the area law has be
Externí odkaz:
http://arxiv.org/abs/2411.02157
Autor:
Kim, Donghoon, Kuwahara, Tomotaka
The area law for entanglement entropy fundamentally reflects the complexity of quantum many-body systems, demonstrating ground states of local Hamiltonians to be represented with low computational complexity. While this principle is well-established
Externí odkaz:
http://arxiv.org/abs/2411.02140
When a local impurity spin interacts with conduction electrons whose density of states (DOS) has a (pseudo)gap or diverges at the Fermi energy, a local moment (LM) phase can be favored over a Kondo phase. Theoretically studying quantum entanglement b
Externí odkaz:
http://arxiv.org/abs/2411.02723
Recently, we have observed that Large Multi-modal Models (LMMs) are revolutionizing the way machines interact with the world, unlocking new possibilities across various multi-modal applications. To adapt LMMs for downstream tasks, parameter-efficient
Externí odkaz:
http://arxiv.org/abs/2411.00029
We introduce a method that ensures efficient computation of one-dimensional quantum systems with long-range interactions across all temperatures. Our algorithm operates within a quasi-polynomial runtime for inverse temperatures up to $\beta={\rm poly
Externí odkaz:
http://arxiv.org/abs/2409.02819
Mid-air navigation offers a method of aerial travel that mitigates the constraints associated with continuous navigation. A mid-air selection technique is essential to enable such navigation. In this paper, we consider four variations of intersection
Externí odkaz:
http://arxiv.org/abs/2408.15199
Goal-conditioned (GC) policy learning often faces a challenge arising from the sparsity of rewards, when confronting long-horizon goals. To address the challenge, we explore skill-based GC policy learning in offline settings, where skills are acquire
Externí odkaz:
http://arxiv.org/abs/2408.11300
Autor:
Nayeem, Abdullah-Al-Raihan, Han, Dongyun, Lee, Huikyo, Kim, Donghoon, Feldman, Daniel, Tolone, William J., Crichton, Daniel, Cho, Isaac
Climate science produces a wealth of complex, high-dimensional, multivariate data from observations and numerical models. These data are critical for understanding climate changes and their socioeconomic impacts. Climate scientists are continuously e
Externí odkaz:
http://arxiv.org/abs/2407.21199
Publikováno v:
Nuclear Technology and Radiation Protection, Vol 34, Iss 1, Pp 13-28 (2019)
A novel polar angular quadrature set called the Kim-Jevremovic polar angular quadrature set is derived for the method of characteristics. It is based on neutron anisotropic scattering cross-sections in the Evaluated Nuclear Data File. This new set is
Externí odkaz:
https://doaj.org/article/3aa82f9713ff46e3b2f64ecc52bcfe07
Autor:
Kim, Seungnyun, Moon, Jihoon, Kim, Jinhong, Ahn, Yongjun, Kim, Donghoon, Kim, Sunwoo, Shim, Kyuhong, Shim, Byonghyo
Publikováno v:
IEEE Wireless Communications, 2024
Recently, we are witnessing the remarkable progress and widespread adoption of sensing technologies in autonomous driving, robotics, and metaverse. Considering the rapid advancement of computer vision (CV) technology to analyze the sensing informatio
Externí odkaz:
http://arxiv.org/abs/2405.03945