Zobrazeno 1 - 10
of 877
pro vyhledávání: '"J, Briegel"'
Autor:
Francesco Preti, Michael Schilling, Sofiene Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Felix Motzoi, Hans J. Briegel
Publikováno v:
Quantum, Vol 8, p 1343 (2024)
Shortening quantum circuits is crucial to reducing the destructive effect of environmental decoherence and enabling useful algorithms. Here, we demonstrate an improvement in such compilation tasks via a combination of using hybrid discrete-continuous
Externí odkaz:
https://doaj.org/article/272939a155be473089a4f6e37b0da189
Autor:
Sofiene Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-8 (2023)
Comparing the capabilities of different quantum machine learning protocols is difficult. Here, the authors show that different learning models based on parametrized quantum circuits can all be seen as quantum linear models, thus driving general concl
Externí odkaz:
https://doaj.org/article/be9a37f1040943988bb2f3b9570a8b1a
Publikováno v:
New Journal of Physics, Vol 26, Iss 1, p 013010 (2024)
The foraging behavior of animals is a paradigm of target search in nature. Understanding which foraging strategies are optimal and how animals learn them are central challenges in modeling animal foraging. While the question of optimality has wide-ra
Externí odkaz:
https://doaj.org/article/f4583879cbaa49b08a498fdb14d67b60
Publikováno v:
Quantum, Vol 7, p 1206 (2023)
Learning a hidden property of a quantum system typically requires a series of interactions. In this work, we formalise such multi-round learning processes using a generalisation of classical-quantum states, called classical-quantum combs. Here, "clas
Externí odkaz:
https://doaj.org/article/bfa2c36ca8a94c268c4651b58cae2b76
Publikováno v:
BMC Biology, Vol 19, Iss 1, Pp 1-16 (2021)
Abstract Background Social insect colonies routinely face large vertebrate predators, against which they need to mount a collective defence. To do so, honeybees use an alarm pheromone that recruits nearby bees into mass stinging of the perceived thre
Externí odkaz:
https://doaj.org/article/6fe543e6f343401b97b130168fdb4178
Autor:
Lea M Trenkwalder, Andrea López-Incera, Hendrik Poulsen Nautrup, Fulvio Flamini, Hans J Briegel
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 3, p 035043 (2023)
In recent years, reinforcement learning (RL) has become increasingly successful in its application to the quantum domain and the process of scientific discovery in general. However, while RL algorithms learn to solve increasingly complex problems, in
Externí odkaz:
https://doaj.org/article/61bf0003a8ea4bb69c5f1e40ea217406
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
We consider the problem of autonomous acquisition of manipulation skills where problem-solving strategies are initially available only for a narrow range of situations. We propose to extend the range of solvable situations by autonomous play with the
Externí odkaz:
https://doaj.org/article/5a91e6e4ed3a4c8eb5b2b0ed9acd922c
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0243628 (2020)
Collective behavior, and swarm formation in particular, has been studied from several perspectives within a large variety of fields, ranging from biology to physics. In this work, we apply Projective Simulation to model each individual as an artifici
Externí odkaz:
https://doaj.org/article/7b9e60f5bd3d48309c7bb43b242b959d
Autor:
P Möhnle, S Hirschberger, L C Hinske, J Briegel, M Hübner, S Weis, G Dimopoulos, M Bauer, E J Giamarellos-Bourboulis, S Kreth
Publikováno v:
Molecular Medicine, Vol 24, Iss 1, Pp 1-14 (2018)
Abstract Background Currently, no suitable clinical marker for detection of septic immunosuppression is available. We aimed at identifying microRNAs that could serve as biomarkers of T-cell mediated immunoparalysis in sepsis. Methods RNA was isolated
Externí odkaz:
https://doaj.org/article/b70e8d84959543bba1665ae18c48e65c
Publikováno v:
IEEE Access, Vol 6, Pp 64639-64648 (2018)
Projective simulation is a model for intelligent agents with a deliberation capacity that is based on episodic memory. The model has been shown to provide a flexible framework for constructing reinforcement-learning agents, and it allows for quantum
Externí odkaz:
https://doaj.org/article/cccb1814d2ae407ab760baf04707fe06