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Finding the failure scenarios of a system is a very complex problem in the field of Probabilistic Safety Assessment (PSA). In order to solve this problem we will use the Hidden Quantum Markov Models (HQMMs) to create a generative model. Therefore, in
Externí odkaz:
http://arxiv.org/abs/2204.00087
In this paper we provide the quantum version of the Convex Non-negative Matrix Factorization algorithm (Convex-NMF) by using the D-wave quantum annealer. More precisely, we use D-wave 2000Q to find the low rank approximation of a fixed real-valued ma
Externí odkaz:
http://arxiv.org/abs/2203.15634
Autor:
Hibti, Mohamed, Zaiou, Ahmed
In this work, we present a quantum walks based approach for Probabilistic Safety Assessment problems in the dynamic Markovian framework. After presenting well known quantum walk algorithms for detecting or finding marked elements in a graph or for fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19d72aa7df16340ff9a2c1888641f32e
Publikováno v:
Artificial Intelligence Applications and Innovations. AIAI 2022. IFIP Advances in Information and Communication Technology
IFIP Advances in Information and Communication Technology ISBN: 9783031083327
IFIP Advances in Information and Communication Technology
IFIP Advances in Information and Communication Technology-Artificial Intelligence Applications and Innovations
IFIP Advances in Information and Communication Technology ISBN: 9783031083327
IFIP Advances in Information and Communication Technology
IFIP Advances in Information and Communication Technology-Artificial Intelligence Applications and Innovations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d2da26bf38f97e159dcf16942ac84fe
Publikováno v:
2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
In this paper we provide the quantum version of the Convex Non-negative Matrix Factorization algorithm (Convex-NMF) by using the D-wave quantum annealer. More precisely, we use D-wave 2000Q to find the low rank approximation of a fixed real-valued ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::749ea6117a0fc06a63e81a3234aa2aaf
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00191
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00191