On the optimality of the radical-pair quantum compass
Pith reviewed 2026-05-24 04:37 UTC · model grok-4.3
The pith
Radical-pair recombination yields approach but fall short of the quantum Fisher information bound by one or two orders of magnitude in cryptochrome models.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The inference of compass orientation from radical-pair recombination yields approaches optimality in the limits of complexity, yet plateaus short of the theoretical optimal precision bounds by up to one or two orders of magnitude, thus underscoring the potential for improving on design principles inherent to natural systems.
What carries the argument
Comparison of directional dependence of radical-pair recombination yields against the quantum Fisher information and associated Cramér-Rao bound applied to spin models of cryptochrome with inter-radical interactions, multiple hyperfine couplings, and asymmetric recombination kinetics.
If this is right
- More complex radical-pair models with additional hyperfine interactions and realistic kinetics yield higher directional precision from recombination yields.
- Asymmetric recombination rates improve the closeness of yield-based inference to the quantum limit compared to symmetric cases.
- Nature's use of reaction yields rather than full quantum state readout imposes a persistent precision gap even in optimised models.
- The gap narrows systematically as the number of nuclear spins and interaction terms increases toward biological realism.
Where Pith is reading between the lines
- Artificial sensors could close the remaining gap by extracting more information than recombination yields alone provide.
- The identified plateau suggests a design trade-off in biological systems between achievable precision and the constraints of operating at physiological temperatures with chemical readouts.
- Testing whether additional radical-pair partners or environmental couplings in vivo further reduce the gap would directly extend the model's predictions.
Load-bearing premise
The quantum Fisher information under steady-state conditions represents the ultimate precision realisable by a quantum measurement on the spin system, and that the models accurately capture the magnetosensory protein cryptochrome.
What would settle it
An experimental measurement of the actual angular resolution achieved by a living cryptochrome-based compass that exceeds the calculated yield-derived precision while staying below the quantum Fisher bound, or a model extension that allows yield measurements to surpass the steady-state quantum bound.
Figures
read the original abstract
Quantum sensing enables the ultimate precision attainable in parameter estimation. Circumstantial evidence suggests that certain organisms, most notably migratory songbirds, also harness quantum-enhanced magnetic field sensing via a radical-pair-based chemical compass for the precise detection of the weak geomagnetic field. However, what underpins the acuity of such a compass operating in a noisy biological setting, at physiological temperatures, remains an open question. Here, we address the fundamental limits of inferring geomagnetic field directions from radical-pair spin dynamics. Specifically, we compare the compass precision, as derived from the directional dependence of the radical-pair recombination yield, to the ultimate precision potentially realisable by a quantum measurement on the spin system under steady-state conditions. To this end, we probe the quantum Fisher information and associated Cram\'er--Rao bound in spin models of realistic complexity, accounting for complex inter-radical interactions, a multitude of hyperfine couplings, and asymmetric recombination kinetics, as characteristic for the magnetosensory protein cryptochrome. We compare several models implicated in cryptochrome magnetoreception and unveil their optimality through the precision of measurements ostensibly accessible to nature. Overall, the comparison provides insight into processes honed by nature to realise optimality whilst constrained to operating with mere reaction yields. Generally, the inference of compass orientation from recombination yields approaches optimality in the limits of complexity, yet plateaus short of the theoretical optimal precision bounds by up to one or two orders of magnitude, thus underscoring the potential for improving on design principles inherent to natural systems.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript compares the directional precision of geomagnetic field inference from radical-pair recombination yields (in models of cryptochrome with increasing numbers of hyperfine couplings, inter-radical interactions, and asymmetric kinetics) against the Cramér-Rao bound set by the steady-state quantum Fisher information, concluding that yield-based inference approaches but remains 1-2 orders of magnitude short of optimality in the most complex models.
Significance. If the steady-state QFI benchmark is appropriate, the work supplies a concrete, model-based assessment of how close biological radical-pair compasses come to quantum limits when restricted to reaction-yield observables, crediting the systematic increase in model complexity and the explicit comparison to an external quantum bound.
major comments (2)
- [Abstract] Abstract and § on quantum Fisher information: the central gap claim equates recombination-yield precision to a bound derived from steady-state QFI, yet the radical-pair lifetime is finite (~1-10 μs) and the state evolves coherently under the geomagnetic field plus hyperfine and relaxation terms; the appropriate figure of merit is therefore the time-dependent QFI integrated against the survival probability, not the steady-state value. This directly affects the reported 1-2 order magnitude shortfall.
- [Models] § on cryptochrome models: the Hamiltonians (hyperfine tensors, asymmetric recombination rates) are taken as given; any systematic mismatch between these parameters and the actual magnetosensory protein would rescale the entire optimality gap, yet no sensitivity analysis to these inputs is reported.
minor comments (2)
- Define the recombination yield observable explicitly (e.g., singlet vs. triplet branching) and state how it is extracted from the density-matrix evolution before comparing to the QFI bound.
- Clarify whether the reported precision is an average over field directions or the worst-case directional uncertainty; the optimality statement depends on this choice.
Simulated Author's Rebuttal
We thank the referee for their constructive comments, which have helped us improve the manuscript. We provide point-by-point responses to the major comments below.
read point-by-point responses
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Referee: [Abstract] Abstract and § on quantum Fisher information: the central gap claim equates recombination-yield precision to a bound derived from steady-state QFI, yet the radical-pair lifetime is finite (~1-10 μs) and the state evolves coherently under the geomagnetic field plus hyperfine and relaxation terms; the appropriate figure of merit is therefore the time-dependent QFI integrated against the survival probability, not the steady-state value. This directly affects the reported 1-2 order magnitude shortfall.
Authors: We appreciate this observation regarding the distinction between steady-state and time-dependent QFI. Our choice of the steady-state QFI was motivated by its provision of an ultimate upper bound on precision for the spin system in the long-time limit, which is relevant for assessing the optimality of the compass mechanism. For the finite lifetimes in our models (on the order of microseconds), the coherent evolution is accounted for in the yield calculation, but the QFI benchmark is taken at steady state to represent the best possible quantum measurement. We have checked that the time to reach steady state is shorter than the recombination time for the parameters considered. To strengthen the manuscript, we will include a brief discussion and, if feasible, a comparison showing that using a time-integrated QFI does not alter the order-of-magnitude conclusion on the optimality gap. This constitutes a partial revision. revision: partial
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Referee: [Models] § on cryptochrome models: the Hamiltonians (hyperfine tensors, asymmetric recombination rates) are taken as given; any systematic mismatch between these parameters and the actual magnetosensory protein would rescale the entire optimality gap, yet no sensitivity analysis to these inputs is reported.
Authors: The referee is correct that the model parameters are drawn from existing literature on cryptochrome. To address potential concerns about parameter sensitivity, we will add a sensitivity analysis in a revised version of the manuscript. This will involve varying the hyperfine coupling strengths and recombination rate ratios within biologically plausible ranges and demonstrating that the reported optimality gap remains consistent in magnitude. We believe this will confirm the robustness of our findings. revision: yes
Circularity Check
No significant circularity detected
full rationale
The paper derives the directional precision attainable from recombination yields by direct integration of the radical-pair master equation under the given Hamiltonians and kinetics, then separately computes the steady-state quantum Fisher information for the same spin system; these are two distinct observables evaluated on identical models, with the QFI serving as an external mathematical benchmark (Cramér-Rao) rather than a quantity fitted or redefined from the yield data. No equation reduces one quantity to the other by construction, no parameter is fitted on a subset and relabeled a prediction, and no load-bearing premise rests on a self-citation chain. The reported gap of 1-2 orders is therefore an independent comparison, not a tautology.
Axiom & Free-Parameter Ledger
axioms (2)
- standard math Quantum mechanics governs the spin dynamics of radical pairs
- domain assumption The models represent realistic cryptochrome
Reference graph
Works this paper leans on
-
[1]
On the optimality of the radical-pair quantum compass
Introduction Quantum magnetometers [1] offer the ability to detect weak magnetic fields with unprece- dented sensitivity [2]. These sensors have numerous established, developing, and proposed uses, including: biomedical applications [3], research into fundamental physics [4], and navigational systems [5]. Remarkably, a promising hypothesis and circumstant...
work page internal anchor Pith review Pith/arXiv arXiv 2024
-
[2]
Methods To accommodate for the complexity and variability inherent in nature, we consider radical- pair models emulating cryptochrome 4a from the European robin ( Erithacus rubecula; ErCry4a) and cryptochrome 1 from the thale cress (Arabidopsis thaliana; AtCry1). Our models incorporate up to 10 nuclear spins; the hyperfine interactions of which have been ...
-
[3]
(17) If ˆρθ is invertible, Fθ given by [69] can furthermore be obtained from Fθ = vec (∂θ ˆρθ)† vec(ˆLθ), (18) where vec(·) denotes vectorisation of a matrix and vec ˆLθ = 2 ˆρθ ⊗ 111 + 111 ⊗ ˆρθ −1 vec (∂θ ˆρθ) , (19) where ·† and · stand for Hermitian transpose and complex conjugation. The symmetric logarithmic derivative determines the optimal measurem...
-
[4]
Results We consider the contrast in yields, and precision in estimating parameter θ of the magnetic field for the four radical-pair systems ErC, ErD, ErC/ErD and AtC introduced in section 2 for a [FAD•−, W•+] model where both radicals are coupled to nuclei through hyperfine interactions, and the reference-probe model [FAD•−, Z•], where only the FAD radica...
-
[5]
Discussion We aimed to quantify the precision of the radical-pair compass and evaluate how optimal it is in the limits of biological complexity, characterised by a large number of hyperfine coupled nuclei and presence of electron-electron dipolar coupling. Utilising the quantum Fisher information to set a bound on the ultimate limits of precision, via the...
-
[6]
Conclusions Quantum metrology establishes fundamental bounds on the precision with which a parame- ter can be inferred through measurements on a quantum system. Avian magnetoreception and several related magnetosensitive traits of various animals are thought to rely on spin dynamics in a protein, suggesting the existence of a quantum magnetometer in biolo...
work page 2018
-
[7]
C. L. Degen, F. Reinhard, and P. Cappellaro, Quantum sensing, Rev. Mod. Phys. 89, 035002 (2017)
work page 2017
-
[8]
V. Giovannetti, S. Lloyd, and L. Maccone, Quantum-enhanced measurements: Beating the standard quantum limit, Science 306, 1330–1336 (2004)
work page 2004
- [9]
-
[10]
S. J. Asztalos et al., SQUID-based microwave cavity search for dark-matter axions , Phys. Rev. Lett. 104, 041301 (2010)
work page 2010
-
[11]
X. Wang, W. Li, B. Moran, B. C. Gibson, L. T. Hall, D. A. Simpson, A. N. Kealy, A. D. Greentree, W. Li, and A. N. Kealy, Quantum diamond magnetometry for navigation in GNSS denied environ- ments (Springer, Berlin, Heidelberg, 2023)
work page 2023
-
[12]
J. Shaw, A. Boyd, M. House, R. Woodward, F. Mathes, G. Cowin, M. Saunders, and B. Baer, Magnetic particle-mediated magnetoreception, J. R. Soc. Interface 12, 20150499 (2015)
work page 2015
-
[13]
P. J. Hore and H. Mouritsen, The radical-pair mechanism of magnetoreception, Annu. Rev. Biophys. 45, 299–344 (2016)
work page 2016
-
[14]
C. T. Rodgers and P. J. Hore, Chemical magnetoreception in birds: The radical pair mechanism, Proc. Natl. Acad. Sci. U. S. A. 106, 353–360 (2009)
work page 2009
-
[15]
K. Schulten, C. E. Swenberg, and A. Weiler, A biomagnetic sensory mechanism based on magnetic field modulated coherent electron spin motion , Z Phys. Chem. 111, 1–5 (1978)
work page 1978
-
[16]
H. Mouritsen, Long-distance navigation and magnetoreception in migratory animals , Nature 558, 50–59 (2018)
work page 2018
-
[17]
K. J. Lohmann, Magnetic-field perception, Nature 464, 1140–1142 (2010)
work page 2010
-
[18]
R. Wiltschko and W. Wiltschko, Magnetoreception in birds, J. R. Soc. Interface 16, 20190295 (2019)
work page 2019
-
[19]
G. C. Nordmann, T. Hochstoeger, and D. A. Keays, Magnetoreception—A sense without a receptor , PLOS Biol. 15, 1–10 (2017)
work page 2017
-
[20]
R. Wiltschko, K. Stapput, P. Thalau, and W. Wiltschko, Directional orientation of birds by the magnetic field under different light conditions , J. R. Soc. Interface 7, S163–S177 (2010)
work page 2010
-
[21]
W. Wiltschko and R. Wiltschko, Light-dependent magnetoreception in birds: The behaviour of Euro- pean robinss, Erithacus rubecula, under monochromatic light of various wavelengths and intensities , J. Exp. Biol. 204, 3295–3302 (2001)
work page 2001
-
[22]
W. Wiltschko and R. Wiltschko, Migratory orientation of European robinss is affected by the wave- length of light as well as by a magnetic pulse , J. Comp. Physiol. A 177, 363–369 (1995)
work page 1995
-
[23]
K. Stapput, O. G¨ unt¨ urk¨ un, K. P. Hoffmann, R. Wiltschko, and W. Wiltschko,Magnetoreception of directional information in birds requires nondegraded vision , Curr. Biol. 20, 1259–1262 (2010)
work page 2010
-
[24]
A. G¨ unther, A. Einwich, E. Sjulstok, R. Feederle, P. Bolte, K. W. Koch, I. A. Solov’yov, and 28 H. Mouritsen, Double-cone localization and seasonal expression pattern suggest a role in magnetore- ception for European robins cryptochrome 4 , Curr. Biol. 28, 211–223.e4 (2018)
work page 2018
-
[25]
T. Ritz, S. Adem, and K. Schulten, A model for photoreceptor-based magnetoreception in birds , Bio- phys. J. 78, 707–718 (2000)
work page 2000
-
[26]
J. Xu et al., Magnetic sensitivity of cryptochrome 4 from a migratory songbird , Nature 594, 535–540 (2021)
work page 2021
-
[27]
T. Hochstoeger et al. , The biophysical, molecular, and anatomical landscape of pigeon CRY4: A candidate light-based quantal magnetosensor , Sci. Adv. 6, 9110–9122 (2020)
work page 2020
- [28]
- [29]
-
[30]
C. R. Timmel, U. Till, B. Brocklehurst, K. A. Mclauchlan, and P. J. Hore, Effects of weak magnetic fields on free radical recombination reactions, Mol. Phys. 95, 71–89 (1998)
work page 1998
-
[31]
M. Procopio and T. Ritz, The reference-probe model for a robust and optimal radical-pair-based mag- netic compass sensor, J. Chem. Phys. 152, 065104 (2020)
work page 2020
-
[32]
J. Cai, F. Caruso, and M. B. Plenio, Quantum limits for the magnetic sensitivity of a chemical compass, Phys. Rev. A 85, 040304 (2012)
work page 2012
-
[33]
E. M. Gauger, E. Rieper, J. J. L. Morton, S. C. Benjamin, and V. Vedral,Sustained quantum coherence and entanglement in the avian compass , Phys. Rev. Lett. 106, 040503 (2011)
work page 2011
-
[34]
T. Ritz, M. Ahmad, H. Mouritsen, R. Wiltschko, and W. Wiltschko, Photoreceptor-based magnetore- ception: Optimal design of receptor molecules, cells, and neuronal processing , J. R. Soc. Interface 7, S135–S146 (2010)
work page 2010
-
[35]
C. R. Timmel, F. Cintolesi, B. Brocklehurst, and P. J. Hore,Model calculations of magnetic field effects on the recombination reactions of radicals with anisotropic hyperfine interactions , Chem. Phys. Lett. 334, 387–395 (2001)
work page 2001
-
[36]
A. A. Lee, J. C. S. Lau, H. J. Hogben, T. Biskup, D. R. Kattnig, and P. J. Hore, Alternative radical pairs for cryptochrome-based magnetoreception, J. R. Soc. Interface 11, 20131063 (2014)
work page 2014
- [37]
-
[38]
R. Wiltschko, M. Ahmad, C. Nießner, D. Gehring, and W. Wiltschko, Light-dependent magnetore- ception in birds: The crucial step occurs in the dark , J. R. Soc. Interface 13, 20151010 (2016)
work page 2016
-
[39]
I. A. Solov’yov and K. Schulten, Magnetoreception through cryptochrome may involve superoxide , Biophys. J. 96, 4804–4813 (2009). 29
work page 2009
-
[40]
T. Ritz, R. Wiltschko, P. J. Hore, C. T. Rodgers, K. Stapput, P. Thalau, C. R. Timmel, and W. Wiltschko, Magnetic compass of birds is based on a molecule with optimal directional sensitiv- ity, Biophys. J. 96, 3451–3457 (2009)
work page 2009
-
[41]
P. Mondal and M. Huix-Rotllant, Theoretical insights into the formation and stability of radical oxygen species in cryptochromes, Phys. Chem. Chem. Phys. 21, 8874–8882 (2019)
work page 2019
-
[42]
P. M¨ uller and M. Ahmad, Light-activated cryptochrome reacts with molecular oxygen to form a flavin–superoxide radical pair consistent with magnetoreception , J. Biol. Chem. 286, 21033–21040 (2011)
work page 2011
-
[43]
H. J. Hogben, O. Efimova, N. Wagner-Rundell, C. R. Timmel, and P. J. Hore, Possible involvement of superoxide and dioxygen with cryptochrome in avian magnetoreception: Origin of Zeeman resonances observed by in vivo EPR spectroscopy , Chem. Phys. Lett. 480, 118–122 (2009)
work page 2009
-
[44]
N. S. Babcock and D. R. Kattnig, Radical scavenging could answer the challenge posed by elec- tron–electron dipolar interactions in the cryptochrome compass model, JACS Au 1, 2033–2046 (2021)
work page 2033
-
[45]
R. H. Keens, S. Bedkihal, and D. R. Kattnig, Magnetosensitivity in dipolarly coupled three-spin systems, Phys. Rev. Lett. 121, 096001 (2018)
work page 2018
-
[46]
N. S. Babcock and D. R. Kattnig, Electron–electron dipolar interaction poses a challenge to the radical pair mechanism of magnetoreception, J. Phys. Chem. Lett. 11, 2414–2421 (2020)
work page 2020
-
[47]
D. R. Kattnig and P. J. Hore, The sensitivity of a radical pair compass magnetoreceptor can be significantly amplified by radical scavengers, Sci. Rep. 7, 1–12 (2017)
work page 2017
-
[48]
D. R. Kattnig, Radical-pair-based magnetoreception amplified by radical scavenging: Resilience to spin relaxation, J. Phys. Chem. B 121, 10215–10227 (2017)
work page 2017
-
[49]
F. Schuhmann, D. R. Kattnig, and I. A. Solov’yov, Exploring post-activation conformational changes in pigeon cryptochrome 4 , J. Phys. Chem. B 125, 9652–9659 (2021)
work page 2021
-
[50]
R. Bart¨ olke, H. Behrmann, K. G¨ ortemaker, C. Yee, J. Xu, E. Behrmann, and K. W. Koch, The secrets of cryptochromes: Photoreceptors, clock proteins, and magnetic sensors , Neuroforum 27, 151– 157 (2021)
work page 2021
-
[51]
M. Liedvogel and H. Mouritsen, Cryptochromes—a potential magnetoreceptor: What do we know and what do we want to know? , J. R. Soc. Interface 7, S147–S162 (2010)
work page 2010
-
[52]
A. R. Cashmore, J. A. Jarillo, Y. J. Wu, and D. Liu, Cryptochromes: blue light receptors for plants and animals, Science 284, 760–765 (1999)
work page 1999
-
[53]
S. L. Braunstein and C. M. Caves, Statistical distance and the geometry of quantum states , Phys. Rev. Lett. 72, 3439 (1994)
work page 1994
-
[54]
Holevo, Probabilistic and statistical aspects of quantum theory (Edizioni della Normale Pisa, 2011)
A. Holevo, Probabilistic and statistical aspects of quantum theory (Edizioni della Normale Pisa, 2011)
work page 2011
-
[55]
R. A. Fisher, Theory of Statistical Estimation , Math. Proc. Cambridge Philos. Soc. 22, 700–725 (1925)
work page 1925
-
[56]
Cram´ er,Mathematical methods of statistics (PMS-9) (Princeton University Press, 1946)
H. Cram´ er,Mathematical methods of statistics (PMS-9) (Princeton University Press, 1946)
work page 1946
-
[57]
H. G. Hiscock, T. W. Hiscock, D. R. Kattnig, T. Scrivener, A. M. Lewis, D. E. Manolopoulos, and 30 P. J. Hore, Navigating at night: Fundamental limits on the sensitivity of radical pair magnetoreception under dim light , Q. Rev. Biophys. 52, e9 (2019)
work page 2019
-
[58]
I. K. Kominis, Physiological search for quantum biological sensing effects based on the Wigner–Yanase connection between coherence and uncertainty, Adv. Quantum Technol., 2300292 (2023)
work page 2023
-
[59]
Y. Tiwari and V. S. Poonia, Quantum coherence enhancement by the chirality-induced spin selectivity effect in the radical-pair mechanism , Phys. Rev. A 107, 052406 (2023)
work page 2023
-
[60]
R. Jain, V. S. Poonia, K. Saha, D. Saha, and S. Ganguly, The avian compass can be sensitive even without sustained electron spin coherence, Proc. R. Soc. A 477, 20200778 (2021)
work page 2021
-
[61]
I. K. Kominis, Quantum relative entropy shows singlet-triplet coherence is a resource in the radical- pair mechanism of biological magnetic sensing , Phys. Rev. Res. 2, 023206 (2020)
work page 2020
- [62]
- [63]
-
[64]
H. J. Hogben, T. Biskup, and P. J. Hore, Entanglement and sources of magnetic anisotropy in radical pair-based avian magnetoreceptors, Phys. Rev. Lett. 109, 220501 (2012)
work page 2012
-
[65]
L. D. Smith, J. Deviers, and D. R. Kattnig, Observations about utilitarian coherence in the avian compass, Sci. Rep. 12, 1–10 (2022)
work page 2022
- [66]
-
[67]
K. M. Vitalis and I. K. Kominis, Quantum-limited biochemical magnetometers designed using the Fisher information and quantum reaction control , Phys. Rev. A 95, 032129 (2017)
work page 2017
-
[68]
L. S. Guo, B. M. Xu, J. Zou, and B. Shao, Quantifying magnetic sensitivity of radical pair based compass by quantum Fisher information , Sci. Rep. 7, 1–8 (2017)
work page 2017
-
[69]
G. Gr¨ uning, S. Y. Wong, L. Gerhards, F. Schuhmann, D. R. Kattnig, P. J. Hore, and I. A. Solov’yov, Effects of dynamical degrees of freedom on magnetic compass sensitivity: A comparison of plant and avian cryptochromes, J. Am. Chem. Soc. 144, 22902–22914 (2022)
work page 2022
-
[70]
S. Y. Wong, Y. Wei, H. Mouritsen, I. A. Solov’yov, and P. J. Hore, Cryptochrome magnetoreception: four tryptophans could be better than three , J. R. Soc. Interface 18, 20210601 (2021)
work page 2021
-
[71]
S. Y. Wong, I. A. Solov’yov, P. J. Hore, and D. R. Kattnig, Nuclear polarization effects in cryptochrome-based magnetoreception, J. Chem. Phys. 154, 035102 (2021)
work page 2021
-
[72]
M. G. Paris, Quantum estimation for quantum technology , Int. J. Quantum Inf. 7, 125–137 (2009)
work page 2009
-
[73]
C. W. Helstrom, Quantum detection and estimation theory , J. Stat. Phys. 1, 231–252 (1969)
work page 1969
-
[74]
R. Bhatia and P. Rosenthal, How and Why to Solve the Operator Equation AX-XB = Y , Bull. London Math. Soc. 29, 1–21 (1997)
work page 1997
-
[75]
ˇSafr´ anek,Simple expression for the quantum Fisher information matrix , Phys
D. ˇSafr´ anek,Simple expression for the quantum Fisher information matrix , Phys. Rev. A 97, 042322 (2018). 31
work page 2018
-
[76]
J. S. Sidhu and P. Kok, Geometric perspective on quantum parameter estimation, AVS Quantum Sci. 2, 014701 (2019)
work page 2019
-
[77]
D. R. Kattnig, I. A. Solov’yov, and P. J. Hore, Electron spin relaxation in cryptochrome-based mag- netoreception, Phys. Chem. Chem. Phys. 18, 12443–12456 (2016)
work page 2016
-
[78]
J. Ramsay and D. R. Kattnig, Radical triads, not pairs, may explain effects of hypomagnetic fields on neurogenesis, PLOS Comput. Biol. 18, e1010519 (2022)
work page 2022
-
[79]
A. T. Dellis and I. K. Kominis, The quantum Zeno effect immunizes the avian compass against the deleterious effects of exchange and dipolar interactions , Biosystems 107, 153–157 (2012)
work page 2012
-
[80]
I. K. Kominis, Quantum Zeno effect explains magnetic-sensitive radical-ion-pair reactions, Phys. Rev. E 80, 056115 (2009)
work page 2009
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