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pro vyhledávání: '"Kardeş, Gülce"'
Autor:
Wolpert, David, Korbel, Jan, Lynn, Christopher, Tasnim, Farita, Grochow, Joshua, Kardeş, Gülce, Aimone, James, Balasubramanian, Vijay, de Giuli, Eric, Doty, David, Freitas, Nahuel, Marsili, Matteo, Ouldridge, Thomas E., Richa, Andrea, Riechers, Paul, Roldán, Édgar, Rubenstein, Brenda, Toroczkai, Zoltan, Paradiso, Joseph
The relationship between the thermodynamic and computational characteristics of dynamical physical systems has been a major theoretical interest since at least the 19th century, and has been of increasing practical importance as the energetic cost of
Externí odkaz:
http://arxiv.org/abs/2311.17166
Publikováno v:
Phys. Rev. X 14, 021026 (2024)
Developing a thermodynamic theory of computation is a challenging task at the interface of non-equilibrium thermodynamics and computer science. In particular, this task requires dealing with difficulties such as stochastic halting times, unidirection
Externí odkaz:
http://arxiv.org/abs/2307.05713
Autor:
Kardeş, Gülce, Wolpert, David
We introduce a framework designed to analyze the thermodynamics of an abstractly defined logical computer like a deterministic finite automaton (DFA) or a Turing machine, without specifying any extraneous parameters (like rate matrices, Hamiltonians,
Externí odkaz:
http://arxiv.org/abs/2206.01165
Autor:
Kardeş, Gülce, Wolpert, David H.
The thermodynamic uncertainty relations (TURs) provide lower bounds on the entropy production (EP) of a system in terms of the statistical precision of an arbitrary current in that system. All conventional TURs derived so far have concerned a single
Externí odkaz:
http://arxiv.org/abs/2101.01610