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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Published on: September 8, 2023

Quantum biological channel modeling and capacity calculation.

Ivan B Djordjevic¹

¹Department of Electrical and Computer Engineering, College of Engineering, University of Arizona, 1230 E. Speedway Blvd., Tucson 85721, AZ, USA. ivan@email.arizona.edu.

Life (Basel, Switzerland)

|November 6, 2014

Summary

This summary is machine-generated.

Quantum mechanics plays a role in biological processes. This study introduces a new quantum channel model for DNA, revealing quantum biological channel capacity exceeds classical capacity, suggesting quantum effects are vital.

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Area of Science:

Quantum Biology
Molecular Biology
Information Theory

Background:

Quantum mechanics influences biological phenomena like photosynthesis and evolution.
Existing quantum biological channel models are limited in explaining imperfect protein synthesis.
Determining quantum biological channel capacity remains an open challenge.

Purpose of the Study:

To develop a generalized operator-sum representation for biological channels.
To establish a quantum channel model for studying quantum biological channel capacity.
To interpret biological processes as quantum noise phenomena.

Main Methods:

Constructed an operator-sum representation of the biological channel using codon basis vectors.
Interpreted transcription, DNA mutations, and translation as quantum noise processes.
Classified quantum errors into storage, replication, transcription, and translation categories.

Main Results:

Determined the quantum biological channel capacity using the new model.
Demonstrated that quantum biological channel capacity is higher than classical capacity for coherent models.
Provided evidence for the significant role of quantum effects in biological systems.

Conclusions:

The proposed quantum channel model is suitable for studying biological quantum channel capacity.
Quantum effects are crucial for biological systems, offering higher information processing capacity.
The model has implications for quantum DNA error correction, aging, cancer, and intracellular dynamics.