Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Hideyuki Miyahara"'
Publikováno v:
PLoS ONE, Vol 19, Iss 2, p e0298789 (2024)
A key metric to determine the performance of a stock in a market is its return over different investment horizons (τ). Several works have observed heavy-tailed behavior in the distributions of returns in different markets, which are observable indic
Externí odkaz:
https://doaj.org/article/8907a2f7b8ce42598450ba0cfddc0ce5
Autor:
Hideyuki Miyahara, Vwani Roychowdhury
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract The paradigm of variational quantum classifiers (VQCs) encodes classical information as quantum states, followed by quantum processing and then measurements to generate classical predictions. VQCs are promising candidates for efficient utili
Externí odkaz:
https://doaj.org/article/25dede35c09849a9972a363495e6a2af
Autor:
Hideyuki Miyahara, Vwani Roychowdhury
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 8/1/2023, Vol. 120 Issue 31, p1-16, 26p
Efficient measures to determine similarity of quantum states, such as the fidelity metric, have been widely studied. In this paper, we address the problem of defining a similarity measure for quantum operations that can be \textit{efficiently estimat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d31735537289e7ad7658e2561b9d9e43
http://arxiv.org/abs/2206.11506
http://arxiv.org/abs/2206.11506
Publikováno v:
Physical Review A
Clustering algorithms are a cornerstone of machine learning applications. Recently, a quantum algorithm for clustering based on the k-means algorithm has been proposed by Kerenidis, Landman, Luongo and Prakash. Based on their work, we propose a quant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a51297cf02e147df85c7954081cb4ae7
https://zenodo.org/record/4436337
https://zenodo.org/record/4436337
Autor:
Hideyuki Miyahara
Steady-state thermodynamics (SST) is a relatively newly emerging subfield of physics, which deals with transitions between steady states. In this paper, we find an SST-like structure in population dynamics of organisms that can sense their fluctuatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f13963d85f04604447c6e9874ba31ab
Publikováno v:
IEEE Transactions on Dielectrics and Electrical Insulation. 24:3916-3921
Thermal and electrical degradation properties in low-viscosity (20 mm2/s, (20 cSt) at 25 °C) silicone liquid and insulation paper were investigated to improve reliability and to enable preventive maintenance technology in transformers. Heat-accelera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7081a69fb46e8c8455625b34bf188aa1
https://doi.org/10.1109/tdei.2017.006736
https://doi.org/10.1109/tdei.2017.006736
Autor:
Hideyuki Miyahara, Kazuyuki Aihara
Publikováno v:
Physical Review E. 98
The relation between the work performed to a system and the change of its free energy during a certain process is important in nonequilibrium statistical mechanics. In particular, the work relation with measurement and feedback control has attracted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48af6cbf542b77a017596e64dd7e3fe7
https://doi.org/10.1103/physreve.98.042138
https://doi.org/10.1103/physreve.98.042138
We propose a modified expectation-maximization algorithm by introducing the concept of quantum annealing, which we call the deterministic quantum annealing expectation-maximization (DQAEM) algorithm. The expectation-maximization (EM) algorithm is an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a418c09e6879f16ee23b6a15bb39157a
http://arxiv.org/abs/1701.03268
http://arxiv.org/abs/1701.03268
Autor:
Yuki Sughiyama, Hideyuki Miyahara
Variational Bayes (VB) inference is one of the most important algorithms in machine learning and widely used in engineering and industry. However, VB is known to suffer from the problem of local optima. In this Letter, we generalize VB by using quant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1e4b26a9239e22cacaca8000d5e126f