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The resource theory of tensor networks [PDF]
QuantumTensor networks provide succinct representations of quantum many-body states and are an important computational tool for strongly correlated quantum systems.
Matthias Christandl +4 more
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Black Holes and Complexity via Constructible Universe
Universe, 2020 The relation of randomness and classical algorithmic computational complexity is a vast and deep subject by itself. However, already, 1-randomness sequences call for quantum mechanics in their realization.
Jerzy Król, Paweł Klimasara
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, 2015 In resolving instances of a computational problem, if multiple instances of interest share a feature in common, it may be fruitful to compile this feature into a format that allows for more efficient resolution, even if the compilation is relatively ...
Chen, Hubie
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Node Significance Analysis in Complex Networks Using Machine Learning and Centrality Measures
IEEE AccessThe study addresses the limitations of traditional centrality measures in complex networks, especially in disease-spreading situations, due to their inability to fully grasp the intricate connection between a node’s functional importance and ...
Koduru Hajarathaiah +4 more
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Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation
Entropy, 2018 Integrated Information Theory (IIT) is a prominent theory of consciousness that has at its centre measures that quantify the extent to which a system generates more information than the sum of its parts.
Pedro A. M. Mediano +2 more
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Parameterized Complexity Results for a Model of Theory of Mind Based on Dynamic Epistemic Logic [PDF]
Electronic Proceedings in Theoretical Computer Science, 2016 In this paper we introduce a computational-level model of theory of mind (ToM) based on dynamic epistemic logic (DEL), and we analyze its computational complexity. The model is a special case of DEL model checking.
Iris van de Pol +2 more
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Task-independent metrics of computational hardness predict human cognitive performance
Scientific Reports, 2022 The survival of human organisms depends on our ability to solve complex tasks in the face of limited cognitive resources. However, little is known about the factors that drive the complexity of those tasks.
Juan Pablo Franco +4 more
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Reflector – A Dynamic Manifestation of Turing Machines with Time and Space Complexity Analysis
JISR on Computing, 2013 The Turing Machine model has proven to be capable of simulating every known computational model. Since its inception the model has served as the basis on which computational devices have been constructed.
Behroz Mirza, Muhammad Rafi
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Molecular bases of circadian magnesium rhythms across eukaryotes
FEBS Letters, EarlyView.Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley +1 more source
An Overview of the Theory of Computational Complexity [PDF]
Journal of the ACM, 1971 The purpose of this paper is to outline the theory of computational complexity which has emerged as a comprehensive theory during the last decade. This theory is concerned with the quantitative aspects of computations and its central theme is the measuring of the difficulty of computing functions.
Hartmanis, J., Hopcroft, J. E.
openaire +2 more sources