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1.
Phys Rev Lett ; 106(4): 040503, 2011 Jan 28.
Artigo em Inglês | MEDLINE | ID: mdl-21405313

RESUMO

In artificial systems, quantum superposition and entanglement typically decay rapidly unless cryogenic temperatures are used. Could life have evolved to exploit such delicate phenomena? Certain migratory birds have the ability to sense very subtle variations in Earth's magnetic field. Here we apply quantum information theory and the widely accepted "radical pair" model to analyze recent experimental observations of the avian compass. We find that superposition and entanglement are sustained in this living system for at least tens of microseconds, exceeding the durations achieved in the best comparable man-made molecular systems. This conclusion is starkly at variance with the view that life is too "warm and wet" for such quantum phenomena to endure.

2.
Biosystems ; 111(1): 1-10, 2013 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-23159919

RESUMO

In this paper we discuss the entropy and information aspects of a living cell. Particular attention is paid to the information gain on assembling and maintaining a living state. Numerical estimates of the information and entropy reduction are given and discussed in the context of the cell's metabolic activity. We discuss a solution to an apparent paradox that there is less information content in DNA than in the proteins that are assembled based on the genetic code encrypted in DNA. When energy input required for protein synthesis is accounted for, the paradox is clearly resolved. Finally, differences between biological information and instruction are discussed.


Assuntos
Células/metabolismo , DNA/genética , Entropia , Código Genético/fisiologia , Teoria da Informação , Biossíntese de Proteínas/fisiologia , Proteínas/genética , Modelos Teóricos , Probabilidade , Termodinâmica
3.
Nat Commun ; 3: 762, 2012 Mar 27.
Artigo em Inglês | MEDLINE | ID: mdl-22453835

RESUMO

Mathematical models are an essential component of quantitative science. They generate predictions about the future, based on information available in the present. In the spirit of simpler is better; should two models make identical predictions, the one that requires less input is preferred. Yet, for almost all stochastic processes, even the provably optimal classical models waste information. The amount of input information they demand exceeds the amount of predictive information they output. Here we show how to systematically construct quantum models that break this classical bound, and that the system of minimal entropy that simulates such processes must necessarily feature quantum dynamics. This indicates that many observed phenomena could be significantly simpler than classically possible should quantum effects be involved.

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