• Corpus ID: 17394099

Quantum information processing at the cellular level. Euclidean approach

@article{Ogryzko2009QuantumIP,
  title={Quantum information processing at the cellular level. Euclidean approach},
  author={Vasily Ogryzko},
  journal={arXiv: Molecular Networks},
  year={2009}
}
  • V. Ogryzko
  • Published 23 June 2009
  • Biology
  • arXiv: Molecular Networks
Application of quantum principles to living cells requires a new approximation of the full quantum mechanical description of intracellular dynamics. We discuss what principal elements any such good approximation should contain. As one such element, the notion of "Catalytic force" Cf is introduced. Cf is the effect of the molecular target of catalysis on the catalytic microenvironment that adjusts the microenvironment towards a state that facilitates the catalytic act. This phenomenon is… 
Biologically inspired path to quantum computer
We describe an approach to quantum computer inspired by the information processing at the molecular level in living cells. It is based on the separation of a small ensemble of qubits inside the
On Two Quantum Approaches to Adaptive Mutations in Bacteria
TLDR
It is argued that the ‘fluctuation trapping model’ can be considered as a QMAM only if it employs a correlation between the R- and D-errors, and it is shown that the model of McFadden & Al-Khalili (1999) cannot qualify as aQMAM, as it corresponds to the 'D-error only' model.
Comment on Masanari Asano et al.: A model of epigenetic evolution based on theory of open quantum systems
  • V. Ogryzko
  • Physics
    Systems and Synthetic Biology
  • 2013
In a recent publication, ‘A model of epigenetic evolution based on theory of open quantum systems’ (2013), the authors state: “We call our model quantum-like (QL) to distinguish it from really

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It is argued that the ‘fluctuation trapping model’ can be considered as a QMAM only if it employs a correlation between the R- and D-errors, and it is shown that the model of McFadden & Al-Khalili (1999) cannot qualify as aQMAM, as it corresponds to the 'D-error only' model.
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