Zobrazeno 1 - 10
of 73 564
pro vyhledávání: '"A. Yamasaki"'
Topology optimization is a structural design methodology widely utilized to address engineering challenges. However, sensitivity-based topology optimization methods struggle to solve optimization problems characterized by strong non-linearity. Levera
Externí odkaz:
http://arxiv.org/abs/2409.01607
Magic state distillation is a crucial yet resource-intensive process in fault-tolerant quantum computation. The protocol's overhead, defined as the number of input magic states required per output magic state with an error rate below $\epsilon$, typi
Externí odkaz:
http://arxiv.org/abs/2408.07764
Autor:
Hayashi, Masahito, Yamasaki, Hayata
The second law of thermodynamics is the cornerstone of physics, characterizing the convertibility between thermodynamic states through a single function, entropy. Given the universal applicability of thermodynamics, a fundamental question in quantum
Externí odkaz:
http://arxiv.org/abs/2408.02722
Autor:
Miyai, Atsuyuki, Yang, Jingkang, Zhang, Jingyang, Ming, Yifei, Lin, Yueqian, Yu, Qing, Irie, Go, Joty, Shafiq, Li, Yixuan, Li, Hai, Liu, Ziwei, Yamasaki, Toshihiko, Aizawa, Kiyoharu
Detecting out-of-distribution (OOD) samples is crucial for ensuring the safety of machine learning systems and has shaped the field of OOD detection. Meanwhile, several other problems are closely related to OOD detection, including anomaly detection
Externí odkaz:
http://arxiv.org/abs/2407.21794
Neutral atoms are among the leading platforms toward realizing fault-tolerant quantum computation (FTQC). However, scaling up a single neutral-atom device beyond $\sim 10^4$ atoms to meet the demands of FTQC for practical applications remains a chall
Externí odkaz:
http://arxiv.org/abs/2407.11111
Quantum state preparation (QSP) is a fundamental task in quantum computation to prepare a quantum state for a given classical description of the quantum state. The classical description of an $n$-qubit quantum state may have $\exp(O(n))$ parameters i
Externí odkaz:
http://arxiv.org/abs/2407.01671
In classical information theory, channel capacity quantifies the maximum number of messages that can be reliably transmitted using shared information. An equivalent concept, termed uncommon information, represents the number of messages required to b
Externí odkaz:
http://arxiv.org/abs/2406.14879
Dataset bias is a significant problem in training fair classifiers. When attributes unrelated to classification exhibit strong biases towards certain classes, classifiers trained on such dataset may overfit to these bias attributes, substantially red
Externí odkaz:
http://arxiv.org/abs/2406.02889
Semi-supervised learning (SSL) can utilize unlabeled data to enhance model performance. In recent years, with increasingly powerful generative models becoming available, a large number of synthetic images have been uploaded to public image sets. Ther
Externí odkaz:
http://arxiv.org/abs/2405.16930
Autor:
Yamasaki, Ryoya, Tanaka, Toshiyuki
Ordinal regression (OR) is classification of ordinal data in which the underlying categorical target variable has a natural ordinal relation for the underlying explanatory variable. For $K$-class OR tasks, threshold methods learn a one-dimensional tr
Externí odkaz:
http://arxiv.org/abs/2405.12756