Entangled-Photon Neurophotonic Sensing Through Bilateral Fiber Interfaces: A Hypothesis Integrating Membrane Stark Transduction, Optical Solitons, and Discrete Time-Crystalline Dynamics

This preprint presents a hypothesis for an entangled-photon neurophotonic sensing architecture designed to acquire information from neuronal action potentials while preserving optical quantum coherence. The proposed system uses bilateral fiber interfaces connected to local intracranial sensing heads, with an external quantum processor retaining one subsystem of an entangled state while a photonic subsystem is routed to a membrane-localized voltage-sensitive transducer. The central transduction mechanism exploits the strong transmembrane electric field associated with an action potential. A Stark- or quantum-confined-Stark-effect-sensitive emitter or absorber, coupled to a nanophotonic mode, is hypothesized to encode membrane-voltage changes as coherent optical phase or scattering transformations. Temporal cavity solitons and dissipative discrete time-crystalline dynamics are explored as optional mechanisms for repeated interrogation and temporal state management, while action-potential-associated nanomechanical motion provides an independent witness channel. The paper develops a minimal entangled-photon sensing model, numerical thought experiments, and a staged experimental program designed to test the proposal component by component. The simulations distinguish coherent signal encoding and heralded photon loss from decohering leakage of which-path information into uncontrolled degrees of freedom. The architecture is intentionally modular and is presented as a falsifiable research hypothesis rather than as a near-term implantable technology. Supplementary material includes Python source code, CSV outputs, and additional simulation figures supporting the computational analyses.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-18
DOI
https://doi.org/10.5281/zenodo.22836317
Primary Topic
Mechanical and Optical Resonators
Type
preprint
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preprint

Entangled-Photon Neurophotonic Sensing Through Bilateral Fiber Interfaces: A Hypothesis Integrating Membrane Stark Transduction, Optical Solitons, and Discrete Time-Crystalline Dynamics

Nick Fox
Zenodo (CERN European Organization for Nuclear Research)
Mechanical and Optical Resonators
preprint

Entangled-Photon Neurophotonic Sensing Through Bilateral Fiber Interfaces: A Hypothesis Integrating Membrane Stark Transduction, Optical Solitons, and Discrete Time-Crystalline Dynamics

Nick Fox
preprint en

Abstract

This preprint presents a hypothesis for an entangled-photon neurophotonic sensing architecture designed to acquire information from neuronal action potentials while preserving optical quantum coherence. The proposed system uses bilateral fiber interfaces connected to local intracranial sensing heads, with an external quantum processor retaining one subsystem of an entangled state while a photonic subsystem is routed to a membrane-localized voltage-sensitive transducer. The central transduction mechanism exploits the strong transmembrane electric field associated with an action potential. A Stark- or quantum-confined-Stark-effect-sensitive emitter or absorber, coupled to a nanophotonic mode, is hypothesized to encode membrane-voltage changes as coherent optical phase or scattering transformations. Temporal cavity solitons and dissipative discrete time-crystalline dynamics are explored as optional mechanisms for repeated interrogation and temporal state management, while action-potential-associated nanomechanical motion provides an independent witness channel. The paper develops a minimal entangled-photon sensing model, numerical thought experiments, and a staged experimental program designed to test the proposal component by component. The simulations distinguish coherent signal encoding and heralded photon loss from decohering leakage of which-path information into uncontrolled degrees of freedom. The architecture is intentionally modular and is presented as a falsifiable research hypothesis rather than as a near-term implantable technology. Supplementary material includes Python source code, CSV outputs, and additional simulation figures supporting the computational analyses.

Zenodo (CERN European Organization for Nuclear Research)
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Mechanical and Optical Resonators
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