Entanglement and intra-molecular cooling in biological systems? - A quantum thermodynamic perspective
arXiv:0806.4552
Abstract
We discuss the possibility of existence of entanglement in biological systems. Our arguments centre on the fact that biological systems are thermodynamic open driven systems far from equilibrium. In such systems error correction can occur which may maintain entanglement despite high levels of de-coherence. We also discuss the possibility of cooling (classical or quantum) at molecular level.
Section 2 expanded. A few references added. 20 pages, 6 figures
References in corpus (12)
- Good Quantum Error-Correcting Codes Exist
- Quantum Computing
- Environment-Assisted Quantum Walks in Photosynthetic Energy Transfer
- Quantum entanglement in photosynthetic light harvesting complexes
- Role of quantum coherence in chromophoric energy transport
- Sustained Quantum Coherence and Entanglement in the Avian Compass
- Entangled light from white noise
- Efficiency of energy transfer in a light-harvesting system under quantum coherence
- Quantum control and entanglement in a chemical compass
- Steady state entanglement in open and noisy quantum systems at high temperature
- Dynamic entanglement in oscillating molecules and potential biological implications
- Nontrivial quantum effects in biology: A skeptical physicists' view
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- Persistent dynamic entanglement from classical motion: How bio-molecular machines can generate non-trivial quantum states
- Physics and Five Problems in the Philosophy of Mind
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