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pro vyhledávání: '"Phillip Kerger"'
Autor:
Phillip Kerger, Ryoji Miyazaki
Publikováno v:
Frontiers in Computer Science, Vol 5 (2023)
We investigate a framework for binary image denoising via restricted Boltzmann machines (RBMs) that introduces a denoising objective in quadratic unconstrained binary optimization (QUBO) form well-suited for quantum annealing. The denoising objective
Externí odkaz:
https://doaj.org/article/cb205213c8b846d9b41348b76a3a654d
Publikováno v:
Algorithms, Vol 16, Iss 7, p 332 (2023)
We present two algorithms in the quantum CONGEST-CLIQUE model of distributed computation that succeed with high probability: one for producing an approximately optimal Steiner tree, and one for producing an exact directed minimum spanning tree, each
Externí odkaz:
https://doaj.org/article/9b2c2d0e1ef143cfa63864810d9fc331
Publikováno v:
Integer Programming and Combinatorial Optimization ISBN: 9783031327254
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33def1f7caf6536454d5c1c81abd4c93
https://doi.org/10.1007/978-3-031-32726-1_1
https://doi.org/10.1007/978-3-031-32726-1_1
Autor:
Phillip Kerger, Kei Kobayashi
Stable subordinators, and more general subordinators possessing power law probability tails, have been widely used in the context of subdiffusions, where particles get trapped or immobile in a number of time periods, called constant periods. The leng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6122549208d27dae98ca2aa53c96a5c1
http://arxiv.org/abs/2005.03662
http://arxiv.org/abs/2005.03662