Classical and Quantum Information in DNA (Google Workshop on Quantum Biology)

Subscribers:
349,000
Published on ● Video Link: https://www.youtube.com/watch?v=2nqHOnVTxJE



Category:
Vlog
Duration: 43:14
48,289 views
571


Google Workshop on Quantum Biology
Classical and Quantum Information in DNA
Presented by Elisabeth Rieper
October 22, 2010

ABSTRACT


DNA stores and replicates information. Special sequences of different nucleic acids (adenine, cytosine, guanine, thymine) encode life's blueprints. These nucleic acids can be divided into a classical part (massive core) and a quantum part (electron shell and single protons). The laws of quantum mechanics map the classical information (A,C,G,T) onto the configuration of electrons and position of single protons. Although DNA replication requires perfect copies of the classical information, the core that constitutes this information does not directly interact with the copying machine. Instead, only the quantum degrees of freedom are measured. Thus successful copying requires a correct translation of classical to quantum to classical information. It has been shown [1] that the electronic system is well shielded from thermal noise. This leads to entanglement inside the DNA helix. It is an open question if this entanglement influences the genetic information processing. In this talk I will discuss possible consequences of entanglement for the information flow and the similarities and differences between classical computing, quantum computing and DNA information processing.

[1] E. Rieper, J. Anders, V. Vedral: The relevance of continuous variable entanglement in DNA, arXiv:1006.4053

About the speaker: Elisabeth Rieper - 2007: Diploma thesis in entanglement theory under supervision of Reinhard Werner. Since 2008: PhD studies in 'Quantum Coherence in Biological Systems' at CQT Singapore under supervision of Vlatko Vedral. This includes both finite dimensional entanglement (spin-spin entanglement in the avian compass, arxiv: 0906.3725) as well as infinite dimensional entanglement (phonons in the electronic degrees of freedom in DNA, arxiv: 1006.4053), exploiting correlations for work extraction (The work value of information, arXiv:0908.0424) and complexity theory.
Currently investigating the possible influence of entanglement on the information flow in biological systems.




Other Videos By Google TechTalks


2010-11-05Development of Large-Scale Grammars Through Corpus Construction (Japanese Audio)
2010-11-04It Takes Two to Tango: The Human Future and the Future of Buddhism
2010-11-01Fun is the Future: Mastering Gamification
2010-10-29確率密度比を用いた新しい機械学習アルゴリズム
2010-10-29Google Workshop on Quantum Biology: Welcome and Introduction
2010-10-28Learning From Examples Using Quantum Annealing (Google Workshop on Quantum Biology)
2010-10-28Electrodynamic Signaling by the Dendritic Cytoskeleton (Google Workshop on Quantum Biology)
2010-10-28Clarifying the Tubulin bit/qubit - Defending the Penrose-Hameroff Orch OR Model (Quantum Biology)
2010-10-28Experimental Studies on a Single Microtubule (Google Workshop on Quantum Biology)
2010-10-28Microtubules - Electric Oscillating Structures in Living Cells (Google Workshop on Quantum Biology)
2010-10-28Classical and Quantum Information in DNA (Google Workshop on Quantum Biology)
2010-10-28A Quantum of Solace - Molecular Electronics of Benzodiazepines (Google Workshop on Quantum Biology)
2010-10-28D-Wave - Natural Quantum Computation (Google Workshop on Quantum Biology)
2010-10-28Optimal and Robust Energy Transfer in Light Harvesting Complexes (Google Wkshop on Quantum Biology)
2010-10-27Quantum Mechanics of Photosynthetic Light Harvesting Machinery (Google Workshop on Quantum Biology)
2010-10-27In the Company of Big Animals
2010-10-27Integrating R with C++: Rcpp, RInside, and RProtobuf
2010-10-21Avoiding the Privacy Apocalypse
2010-10-18Meaningful Innovation: Whether to Design or Evolve?
2010-10-15The Untapped Potential of a Potential Space
2010-10-15Gesture and Tactile Interfaces: Applications in Mobile Computing and American Sign Language



Tags:
google tech talk
quantum biology
artificial intelligence
quantum computation