Identifying possible mechanism for quantum needle in chemical
magnetoreception
- URL: http://arxiv.org/abs/2401.17323v1
- Date: Mon, 29 Jan 2024 11:43:24 GMT
- Title: Identifying possible mechanism for quantum needle in chemical
magnetoreception
- Authors: Xiaoyu Chen, Haibin Liu, Jianming Cai
- Abstract summary: The radical pair mechanism is an important model that may provide a basis for biological magnetoreception.
We exploit the optimization techniques and find a novel class of model system, which sustains much more prominent features of quantum needle.
Our work provides essential evidence for identifying the possible physical mechanism for quantum needle in chemical magnetoreception.
- Score: 5.692479593450286
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The radical pair mechanism is an important model that may provide a basis for
biological magnetoreception. To account for the high orientation precision of
the real avian compass, P. J. Hore et al. proposed an intriguing phenomenon
called quantum needle [Proc. Natl. Acad. Sci. 113, 4634 (2016)], where a
spike-like feature emerges in the fractional yield signal. However, it is
believed that quantum needle requires the radical pair lifetime to be longer
than a few microseconds and thus poses stern challenges in realistic biological
systems. Here, we exploit the optimization techniques and find a novel class of
model system, which sustains much more prominent features of quantum needle and
significantly relaxes the requirement for radical pair lifetime. Even more
surprisingly, we find that the characteristics of quantum needle retain a
narrow functional window around the geomagnetic field, which is absent in the
previous model systems. Therefore, our work provides essential evidence for
identifying the possible physical mechanism for quantum needle in chemical
magnetoreception.
Related papers
- Quantum data learning for quantum simulations in high-energy physics [55.41644538483948]
We explore the applicability of quantum-data learning to practical problems in high-energy physics.
We make use of ansatz based on quantum convolutional neural networks and numerically show that it is capable of recognizing quantum phases of ground states.
The observation of non-trivial learning properties demonstrated in these benchmarks will motivate further exploration of the quantum-data learning architecture in high-energy physics.
arXiv Detail & Related papers (2023-06-29T18:00:01Z) - Universality of critical dynamics with finite entanglement [68.8204255655161]
We study how low-energy dynamics of quantum systems near criticality are modified by finite entanglement.
Our result establishes the precise role played by entanglement in time-dependent critical phenomena.
arXiv Detail & Related papers (2023-01-23T19:23:54Z) - Sensing of magnetic field effects in radical-pair reactions using a
quantum sensor [50.591267188664666]
Magnetic field effects (MFE) in certain chemical reactions have been well established in the last five decades.
We employ elaborate and realistic models of radical-pairs, considering its coupling to the local spin environment and the sensor.
For two model systems, we derive signals of MFE detectable even in the weak coupling regime between radical-pair and NV quantum sensor.
arXiv Detail & Related papers (2022-09-28T12:56:15Z) - Quantum Computation of Hydrogen Bond Dynamics and Vibrational Spectra [0.37187295985559027]
We introduce a framework for solving hydrogen-bond systems and more generic chemical dynamics problems using quantum logic.
We experimentally demonstrate a proof-of-principle instance of our method using the QSCOUT ion-trap quantum computer.
Our approach introduces a new paradigm for studying the quantum chemical dynamics and vibrational spectra of molecules.
arXiv Detail & Related papers (2022-04-18T21:42:54Z) - Quantum Neuronal Sensing of Quantum Many-Body States on a 61-Qubit
Programmable Superconducting Processor [17.470012490921192]
Classifying many-body quantum states with distinct properties and phases of matter is one of the most fundamental tasks in quantum many-body physics.
Here, we propose a new approach called quantum neuronal sensing.
We show that our scheme can efficiently classify two different types of many-body phenomena.
arXiv Detail & Related papers (2022-01-16T03:20:04Z) - Relativistic meson spectra on ion-trap quantum simulators [0.0]
We analyze the capability of analog ion traps to explore relativistic meson spectra on current devices.
We focus on the E_8 quantum field theory regime, which arises due to longitudinal perturbations at the critical point of the transverse-field Ising model.
arXiv Detail & Related papers (2021-07-19T18:00:03Z) - Basis-independent system-environment coherence is necessary to detect
magnetic field direction in an avian-inspired quantum magnetic sensor [77.34726150561087]
We consider an avian-inspired quantum magnetic sensor composed of two radicals with a third "scavenger" radical under the influence of a collisional environment.
We show that basis-independent coherence, in which the initial system-environment state is non-maximally mixed, is necessary for optimal performance.
arXiv Detail & Related papers (2020-11-30T17:19:17Z) - Spin Entanglement and Magnetic Competition via Long-range Interactions
in Spinor Quantum Optical Lattices [62.997667081978825]
We study the effects of cavity mediated long range magnetic interactions and optical lattices in ultracold matter.
We find that global interactions modify the underlying magnetic character of the system while introducing competition scenarios.
These allow new alternatives toward the design of robust mechanisms for quantum information purposes.
arXiv Detail & Related papers (2020-11-16T08:03:44Z) - Entropic Uncertainty Relations and the Quantum-to-Classical transition [77.34726150561087]
We aim to shed some light on the quantum-to-classical transition as seen through the analysis of uncertainty relations.
We employ entropic uncertainty relations to show that it is only by the inclusion of imprecision in our model of macroscopic measurements that we can prepare a system with two simultaneously well-defined quantities.
arXiv Detail & Related papers (2020-03-04T14:01:17Z) - Quantum relative entropy shows singlet-triplet coherence is a resource
in the radical-pair mechanism of biological magnetic sensing [0.0]
Radical-pair reactions pertinent to biological magnetic field sensing are an ideal system for demonstrating the paradigm of quantum biology.
We introduce and explore a formal measure quantifying singlet-triplet coherence of radical-pairs using the concept of quantum relative entropy.
arXiv Detail & Related papers (2020-01-25T14:05:21Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.