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Record W3001174765 · doi:10.48550/arxiv.2001.08522

Natural and bionic neuronal membranes: possible sites for quantum biology

2020· preprint· en· W3001174765 on OpenAlexaff
Lee Smolin

Bibliographic record

VenuearXiv (Cornell University) · 2020
Typepreprint
Languageen
FieldNeuroscience
TopicPhotoreceptor and optogenetics research
Canadian institutionsPerimeter Institute
Fundersnot available
KeywordsSpinsMembraneQubitPhospholipidChirality (physics)NanotechnologyChemical physicsTopology (electrical circuits)PhysicsChemistryQuantumMaterials scienceQuantum mechanicsCondensed matter physicsElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

A new concept for bionic quantum technology is presented based on a hybrid of a silicon wafer on which is layered a phospholipid membrane, such as is found in biological cell membranes. The phosphorus atoms in the head groups of the membranes carry nuclear spins which serve as memory qubits. The role of control qubits may be played by unpaired spins of extra electrons on phosphate groups with a single negative charge, in polar, zwitterionic headgroups such as phosphatidylcholine (PC). Classical control gates and circuits are embedded on the silicon wafer, as in proposals by Kane and others for solid state quantum computing devices. A proposal to extend these ideas to neuronal membranes, which makes use of the chirality of the phospholipid molecules that make up its bulk, is also briefly sketched. The chirality of the phospholipid molecules is argued, at least at low temperature, to induce Chern-Simons couplings, which may give rise to robust qubits in topological winding states, defined on the cylinder mod punctures-which are the ion channels.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.182
GPT teacher head0.266
Teacher spread0.083 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2020
Admission routes1
Has abstractyes

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