Zobrazeno 1 - 10
of 84
pro vyhledávání: '"hidden quantum Markov models"'
In this paper, we propose circular Hidden Quantum Markov Models (c-HQMMs), which can be applied for modeling temporal data in quantum datasets (with classical datasets as a special case). We show that c-HQMMs are equivalent to a constrained tensor ne
Externí odkaz:
http://arxiv.org/abs/2111.01536
Extending classical probabilistic reasoning using the quantum mechanical view of probability has been of recent interest, particularly in the development of hidden quantum Markov models (HQMMs) to model stochastic processes. However, there has been l
Externí odkaz:
http://arxiv.org/abs/1912.02098
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 4, Pp 1-11 (2023)
This article proposes circular hidden quantum Markov models (c-HQMMs), which can be applied for modeling temporal data. We show that c-HQMMs are equivalent to a tensor network (more precisely, circular local purified state) model. This equivalence en
Externí odkaz:
https://doaj.org/article/38a3789117e34be48377b1b7f1d7e616
Hidden Quantum Markov Models (HQMMs) can be thought of as quantum probabilistic graphical models that can model sequential data. We extend previous work on HQMMs with three contributions: (1) we show how classical hidden Markov models (HMMs) can be s
Externí odkaz:
http://arxiv.org/abs/1710.09016
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
ISCS 2014: Interdisciplinary Symposium on Complex Systems, Emergence, Complexity and Computation 14, p. 143, Springer (2015)
Hidden Markov Models are widely used in classical computer science to model stochastic processes with a wide range of applications. This paper concerns the quantum analogues of these machines --- so-called Hidden Quantum Markov Models (HQMMs). Using
Externí odkaz:
http://arxiv.org/abs/1406.5847
Publikováno v:
AIP Conf. Proc. 1479, 667 (2012)
Hidden Markov Models (HMMs) have become very popular as a computational tool for the analysis of sequential data. They are memoryless machines which transition from one internal state to another, while producing symbols. These symbols constitute the
Externí odkaz:
http://arxiv.org/abs/1207.4304
Publikováno v:
Applied Mathematical and Computational Sciences 3, 93 (2011)
Stochastic finite-state generators are compressed descriptions of infinite time series. Alternatively, compressed descriptions are given by quantum finite- state generators [K. Wiesner and J. P. Crutchfield, Physica D 237, 1173 (2008)]. These are bas
Externí odkaz:
http://arxiv.org/abs/1002.2337
Kniha
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031067877
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93b052d38569a38a977e27eea9c7bb79
https://doi.org/10.1007/978-3-031-06788-4_37
https://doi.org/10.1007/978-3-031-06788-4_37