This is an extension of the Anin Post above (I have not been able to access the Anin account again, so have created a new one under the tag 'systematic'.
Quantum biology cannot simply solve the practical concerns of quantum computing as they stand - as biology is not simply a form of semiconductor or quantum computer.
I note that leading scholars such as P J Hore (quoted above) working on the radical pair mechanism in biology have been strongly connected to NMR research from the start.
These scholars may well be aware of both the benefits and pitfalls of interdisciplinary work. One of the major risks within academic study, is that in drawing parallels across disciplines, we can ignore differences. So I would advise those working across quantum biology, biocomputing and quantum computing to be remain open to differences as well as similarities. Biology has evolved over millions of years (and is still adapting). Replicating findings in biology can be a headache for this reason. Biologists can find that working with a different specimen or making slight changes in an environment can substantially alter findings. What applies in the case of one species, may not apply to others. It is, therefore, always important when reading the biological sciences to read widely.
It unlikely that biology will simply fit to existing conceptualisations within computing or physics. It requires scholars examine the phenomena as something unknown and holding many possibilities - some of which may challenge any preconceptions they already have.
For example, focusing on the radical pairs mechanism alone in research into quantum efficiency (within biological processes) will be of limited use without understanding their wider context.
There is research evidencing the interaction of cryptochrome with redox and biological timing mechanisms in mice models (Harino et a, 2017). And more widely there is a growing literature on the interaction of redox and circadian rhythms (including through circadian gating) across many plant (Guadagno et al, 2018) and animal species. Recent work has identified circadian rhythms of Reactive Oxygen Species (ROS) generation and ROS-scavenging enzymes, and there are also circadian rhythms of ROS-generating photosynthesis (Simon et al, 2019). If you want to understand more about circadian rhythms then I would suggest checking out Alfred Goldbeters work.
Biology doesn't Separate Everything into Individual Components
The operation of such timing mechanisms have implications for quantum efficiency [Garzia- Plazaola et al, 2017; Schubert et al, 2004) within biology. Sorek and Levy (2012) have also researched relationships with temperature compensation. It would seem that biology can treat light and temperature signalling as integrated rather than separated (Franklin et al, 2014).
The cry gene alters blue-light (<420 nm) phototransduction which affects biological clocks, spatial orientation and taxis relative to gravity, magnetic fields, solar, lunar, and celestial radiation in several species (Clayton, 2016)
Another problem facing those developing new memory technologies is what conceptualisation of memory to use. If you are attempting to draw understanding from biology, then it may be useful to review the latest literature on biological memory.
The concept of archival memory as a particular form of computational memory (encoding, storage and retrieval) is historic and arguably out-of-date (e.g. drawing on Atkinson and Shiffrin, 1968). Today there are many conceptualisations of memory from across disciplines.
Broadly, across many disciplines, memory is now regarded as constructed or generated rather than 'truth'. Such conceptualisation is increasingly found in the neurosciences, where light is being used to reconstruct memories or implant new ones through optogenetics.
Many conceptualisations focus on the spatial-temporal aspect of memory. For example, within the concept of mental time travel, historic information (identified with another time and location) is revisited and reshaped in the present - perhaps according the needs of the current environment. Thus rather than being fixed, the past and future exist as multiple possibilities before they are collapsed by applying a technique of memory. Prediction based on historic data is itself a technique for reshaping memory. Human technics or practices of memory have been created by human beings (drawing on philosophy - from Plato to Husserl), so cannot be viewed as innate. If we apply techniques associated with the philosophy of the enlightenment period we will shape memory accordingly (i.e as adhering to classical forms of physics), but there are alternatives from philosophical fields such as phenomenology which may be more appropriate for quantum memory.
Some alternative concepts of quantum memory have already been put forward.
A number of disciplines also recognise that forgetting (more than is remembered) is a necessary aspect of biological memory - although it is not clear whether the information is wiped out or merely held back from the consciousness until the occasion arises when it becomes open to being accessed again and reshaped. It is also recognised that memory goes beyond the individual, and is shared within biological collectives.
You might which to give consideration to how quantum biological systems could produce code. A clue to this might be in our own visual system. We have materials such as cryptochrome in our own retinas which respond to light and magnetic fields (Foley et al, 2011)
It has been proposed that phosphenes (which can be generated in our visual cortex in response to flickering light and electro magnetic fields) are the result of light-producing radical reactions of reactive oxygen species (ROS) and nonradical ROS leading to the oxidation of biomolecules, self-recombination of organic radicals, and excitation energy transfer to chromophores. Császár et al, 2015.
Phosphenes generate a large range of geometrical shapes and colours. These could potentially act as code/memory.
Happy to Recognise my Own Limitations
But the above only represent ideas I have gleaned from my own explorations (through various interdisciplinary degrees). Biology extends far, far beyond these and it will probably turn out that it operates in multiple ways across species and environments. Some might find such uncertainty is unsettling, but for me this holds great promise for the future. For example, biology can evolve to produce very little pollution within its environment.