V10Foundational systems2025

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.

01

Research question

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

02

Method and experiment series

Experiments E1–E8 embed oracle/diffusion analogues into a dissipative nonlinear continuum and change task encodings while preserving the underlying field update.

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

03

Key results

  • One substrate is exercised across search, classification, PDE, and path-finding tasks.
  • Stress tests include strong phase noise and vortices.
  • The report provides a numbered visual record for all eight experiment groups.

04

What is not established

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.

This work is a numerical proof-of-concept. It establishes model-level behaviour under the stated assumptions and does not replace independent laboratory validation.

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