FIELDMIND LABCOMPUTATIONAL R&DRU

PUBLIC EVIDENCE DOSSIER

V10Foundational systems2025STABLE NODE

Numerical proof-of-concept

V10: Phase-Field Grover Machine for Physical Cost Minimisation

A complex phase field is configured for Grover-like search and cost minimisation, then reused for pattern classification, noise stress tests, multi-oracle search, PDE solving, and maze transport.

Read the dossierOpen publication record OPEN INTERACTIVE INSTRUMENT

Normalized educational approximation; not a reproduction of the published experiment.

V10
EVIDENCE MODE
Numerical study
SCOPE
CLAIM-BOUNDED
Publication
Public publication · DOI
01QUESTION

Research question

Can a fixed normalized field dynamics solve different search and optimisation tasks by reshaping its effective cost functional?

02MODEL

MODEL SCOPE

Public model description

One dissipative nonlinear complex-field update is retained while task-specific oracle, diffusion, and cost terms reshape the effective functional.

03EXPERIMENT

PROTOCOL

Declared evidence chain

E1–E8 exercise pattern memory, classification, strong-noise and vortex stress, multi-oracle search, PDE cost minimisation, and directional maze transport.

Series: E1–E8 · search · classification · PDEs · maze transport

  • E1–E8
  • search
  • classification
  • PDEs
  • maze transport

The labels below preserve the public protocol identity. They are an index to the publication, not a substitute for its full methods or an open reproducibility bundle.

04RESULT

EVIDENCE

Results inside the model

8Experiment groups
4Task families exercised
0Quantum speed-up claims

INTERACTIVE MODEL LENS

Cost-landscape lens

A normalized view of task encoding, cost-functional reshaping, and dissipative relaxation across search, PDE, classification, and path tasks.

NORMALIZED EXPLANATORY VIEW
Active stateRelaxed solution

Dissipative dynamics concentrate the model state in a selected low-cost basin.

Geometry, intensity, timing, and motion in this lens are normalized explanatory encodings. They are not experimental measurements. Published aggregates remain in the evidence signals and source figure.
  1. One substrate is exercised across search, classification, PDE, and path-finding tasks.
  2. Stress tests include strong phase noise and vortices.
  3. The report provides a numbered visual record for all eight experiment groups.
05CLAIM BOUNDARY

BOUNDARY

CLAIM BOUNDARY

  1. 01
    Declared numerical protocol

    E1–E8 · search · classification · PDEs · maze transport

  2. 02
    Supported model-level finding

    One substrate is exercised across search, classification, PDE, and path-finding tasks.

  3. Claim boundary
  4. 03
    Requires a separate validation chain

    Grover-like refers to the model encoding and amplification pattern; no quantum speed-up, complexity advantage, hardware realization, or superiority over conventional solvers is established.

Numerical evidence is not physical validation. Transfer to a material, device, organism, environment, or operational service requires a separate validation chain whenever such a transfer is relevant.

06PUBLICATION

Publication record

Author
Nikita Teslia
Programme
Foundational systems
Claim type
Numerical proof-of-concept
Year
2025
Dossier review
Series
E1–E8 · search · classification · PDEs · maze transport
License
CC BY-NC-ND 4.0
DOI
10.5281/zenodo.17899976

Citation

Teslia, N. (2025). V10: Phase-Field Grover Machine for Physical Cost Minimisation. Zenodo. https://doi.org/10.5281/zenodo.17899976Open publication record

The DOI is the canonical external record. The site condenses the public publication and does not replace it.

PROGRAMME TOPOLOGY

Research lineage

Lineage records publication sequence and explicit revision or supersession links. It does not assert empirical causation or an otherwise unverified cross-branch dependence.

Predecessor
V10Foundational systems
Successor
FIELDSTABLE