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Overview

Rowan Brad Quni edited this page May 24, 2026 · 1 revision

Overview — What is QWAV?

QWAV (Quantum Wave) is an ultrametric quantum computing paradigm that exploits the intrinsic fault tolerance of hierarchical (tree-based) geometries for quantum error correction, computation, and artificial intelligence.

Core Thesis

Quantum information organized on ultrametric spaces — specifically Bruhat-Tits trees — achieves intrinsic error confinement. Unlike flat-geometry approaches (surface codes) that require active syndrome measurement and correction, ultrametric codes confine errors by design: the tree geometry naturally bounds error propagation to logarithmic depth.

Key Concepts

Concept Description
Ultrametricity A stronger form of the triangle inequality: $d(x,z) \leq \max(d(x,y), d(y,z))$. Creates hierarchical (tree-like) metric spaces.
Bruhat-Tits Tree The geometric object at the heart of QWAV. An infinite regular tree encoding the structure of p-adic numbers.
Error Confinement Errors propagate only within their branch of the tree — never cross to unrelated branches.
Hierarchical Organization Information organized in parent-child relationships inherits protection from ancestors.

Why This Matters

Current quantum computing faces a fundamental challenge: error correction requires massive overhead (1000+ physical qubits per logical qubit for surface codes). QWAV's ultrametric approach offers an alternative path where:

  1. Error correction is intrinsic — the geometry itself confines errors
  2. Overhead scales logarithmically — not polynomially
  3. Fault tolerance is geometric — not algorithmic

Technical Approach

QWAV builds on 12 mathematical modules (M1-M12), each addressing a specific aspect of ultrametric quantum physics:

  • M1-M4: Mathematical foundations (valuation theory, Bruhat-Tits trees, Vladimirov operator, adelic theory)
  • M5-M8: Quantum error correction (ratio-based QEC, quantum gate theory, thermodynamic limits, Wheeler-DeWitt)
  • M9-M12: Physical implications (Lorentz symmetry, cosmology, Monna map, synthesis)

Status

  • 40+ publications on Zenodo and arXiv
  • 5 interactive demos deployed at qnfo.github.io
  • 102 tests passing (42 structural + 60 pytest)
  • Active development — Sprint 21 completed May 2026

See Also

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