
Radical pairs and the dynamics they undergo are prevalent in many chemical and biological systems. Specifically, it has been proposed that the radical pair mechanism results from a relatively strong hyperfine interaction with its intrinsic nuclear spin environment. While the existence of this mechanism is undisputed, the nanoscale details remain to be experimentally shown. We analyze here the role of a quantum sensor in detecting the spin dynamics (non-Markovian) of individual radical pairs in the presence of a weak magnetic field. We show how quantum control methods can be used to set apart the dynamics of radical pair mechanism at various stages of the evolution. We envisage these findings having far-reaching implications to the understanding of the physical mechanism in magnetoreception and other bio-chemical processes with a microscopic detail.
Chemical Physics (physics.chem-ph), Quantum Physics, Biological Physics (physics.bio-ph), Physics - Chemical Physics, FOS: Physical sciences, Physics - Biological Physics, Quantum Physics (quant-ph)
Chemical Physics (physics.chem-ph), Quantum Physics, Biological Physics (physics.bio-ph), Physics - Chemical Physics, FOS: Physical sciences, Physics - Biological Physics, Quantum Physics (quant-ph)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
