Quantum biological information theory

Research output: Book/ReportBook

2 Citations (Scopus)

Abstract

This book is a self-contained, tutorial-based introduction to quantum information theory and quantum biology. It serves as a single-source reference to the topic for researchers in bioengineering, communications engineering, electrical engineering, applied mathematics, biology, computer science, and physics. The book provides all the essential principles of the quantum biological information theory required to describe the quantum information transfer from DNA to proteins, the sources of genetic noise and genetic errors as well as their effects. Integrates quantum information and quantum biology concepts; Assumes only knowledge of basic concepts of vector algebra at undergraduate level; Provides a thorough introduction to basic concepts of quantum information processing, quantum information theory, and quantum biology; Includes in-depth discussion of the quantum biological channel modelling, quantum biological channel capacity calculation, quantum models of aging, quantum models of evolution, quantum models on tumor and cancer development, quantum modeling of bird navigationcompass, quantum aspects of photosynthesis, quantum biological error correction.

Original languageEnglish (US)
PublisherSpringer International Publishing
Number of pages269
ISBN (Print)9783319228167, 9783319228150
DOIs
StatePublished - Jan 1 2016

Fingerprint

Information theory
Information Theory
Biology
Photosynthesis
Channel capacity
Electrical engineering
Birds
Error correction
Computer science
Algebra
Quantum Information Theory
Tumors
DNA
Physics
Quantum Information
Aging of materials
Proteins
Communication
Vector algebra
Channel Modeling

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)
  • Mathematics(all)

Cite this

Quantum biological information theory. / Djordjevic, Ivan B.

Springer International Publishing, 2016. 269 p.

Research output: Book/ReportBook

Djordjevic, Ivan B. / Quantum biological information theory. Springer International Publishing, 2016. 269 p.
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