Testing quantum markers of brain processes
- URL: http://arxiv.org/abs/2508.21490v1
- Date: Fri, 29 Aug 2025 10:16:31 GMT
- Title: Testing quantum markers of brain processes
- Authors: Partha Ghose, Dimitris Pinotsis,
- Abstract summary: We propose two experiments aimed at detecting emergent coherence in axonal signal propagation and subthreshold oscillations.<n>If successful, these experiments will provide experimental support for quantum markers of brain processes.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The emergence of the Dirac equation from a stochastic master equation suggests a profound link between relativistic quantum mechanics and underlying probabilistic descriptions of brain dynamics. In parallel, recent work has shown that the FitzHugh-Nagumo equations describing excitable neurons can be reformulated to yield a Schr\"{o}dinger-like equation with a novel Planck-like constant, indicating that neural noise may give rise to quantum-like dynamics. This paper brings these insights together to propose two novel neuroscience experiments aimed at detecting emergent coherence in axonal signal propagation and subthreshold oscillations. We suggest that stochastic interference effects in axon branching structures may reveal signatures of Dirac-type stochasticity. We also suggest that by measuring neuronal temperature and fluctuations we can detect quantum effects in brain oscillations. If successful, these experiments will provide experimental support for quantum markers of brain processes.
Related papers
- Bayes or Heisenberg: Who(se) Rules? [28.888157650952675]
We show that quantum systems can be reformulated as probabilistic equations expressed in terms of probabilistic state vectors.<n>These representations can, in turn, be approximated by the neural network dynamics of the Brain (TB) model.
arXiv Detail & Related papers (2025-10-14T14:27:18Z) - Derivation of a Schrödinger Equation for Single Neurons Through Stochastic Neural Dynamics [0.0]
The electrical noise (Brownian motion) in neuron membranes gives rise to an emergent' Schr"odinger equation.
This result could provide new insights into the underlying mechanisms of brain function.
arXiv Detail & Related papers (2024-06-24T07:25:57Z) - Hysteresis and Self-Oscillations in an Artificial Memristive Quantum Neuron [79.16635054977068]
We study an artificial neuron circuit containing a quantum memristor in the presence of relaxation and dephasing.
We demonstrate that this physical principle enables hysteretic behavior of the current-voltage characteristics of the quantum device.
arXiv Detail & Related papers (2024-05-01T16:47:23Z) - Amplification of quantum transfer and quantum ratchet [56.47577824219207]
We study a model of amplification of quantum transfer and making it directed which we call the quantum ratchet model.
The ratchet effect is achieved in the quantum control model with dissipation and sink, where the Hamiltonian depends on vibrations in the energy difference synchronized with transitions between energy levels.
Amplitude and frequency of the oscillating vibron together with the dephasing rate are the parameters of the quantum ratchet which determine its efficiency.
arXiv Detail & Related papers (2023-12-31T14:04:43Z) - A Quantum-Classical Model of Brain Dynamics [62.997667081978825]
Mixed Weyl symbol is used to describe brain processes at the microscopic level.
Electromagnetic fields and phonon modes involved in the processes are treated either classically or semi-classically.
Zero-point quantum effects can be incorporated into numerical simulations by controlling the temperature of each field mode.
arXiv Detail & Related papers (2023-01-17T15:16:21Z) - Hamiltonian Simulation of Quantum Beats in Radical Pairs Undergoing
Thermal Relaxation on Near-term Quantum Computers [0.0]
Quantum dynamics of the radical pair mechanism is a major driving force in quantum biology, materials science, and spin chemistry.
We take advantage of quantum computers to simulate the Hamiltonian evolution and thermal relaxation of two radical pair systems undergoing the quantum-beat phenomena.
arXiv Detail & Related papers (2022-08-22T07:29:25Z) - Trapped-Ion Quantum Simulation of Collective Neutrino Oscillations [55.41644538483948]
We study strategies to simulate the coherent collective oscillations of a system of N neutrinos in the two-flavor approximation using quantum computation.
We find that the gate complexity using second order Trotter- Suzuki formulae scales better with system size than with other decomposition methods such as Quantum Signal Processing.
arXiv Detail & Related papers (2022-07-07T09:39:40Z) - Parametrized constant-depth quantum neuron [56.51261027148046]
We propose a framework that builds quantum neurons based on kernel machines.
We present here a neuron that applies a tensor-product feature mapping to an exponentially larger space.
It turns out that parametrization allows the proposed neuron to optimally fit underlying patterns that the existing neuron cannot fit.
arXiv Detail & Related papers (2022-02-25T04:57:41Z) - Information Scrambling in Computationally Complex Quantum Circuits [56.22772134614514]
We experimentally investigate the dynamics of quantum scrambling on a 53-qubit quantum processor.
We show that while operator spreading is captured by an efficient classical model, operator entanglement requires exponentially scaled computational resources to simulate.
arXiv Detail & Related papers (2021-01-21T22:18:49Z)
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.