Independent research by Rowan Brad Quni-Gudzinas
What computation really costs, and what it delivers.
QNFO is the independent research imprint of Rowan Brad Quni-Gudzinas. The work asks what computation really costs and delivers: energy per correct answer (Joules-per-Solution), what an AI-assisted claim is worth (ignorance audits), and what an autonomous research system actually delivers. Corrections ship as new versions of the same paper.
Selected works
The full libraryEnergy-honest computing
Epistemics of AI-assisted science
Autonomous research operations
Quni-Gudzinas, R. B. Published by QNFO. Prepared with an AI-assisted research pipeline; the author is responsible for the content.
Latest papers
Browse the library- Regular Ternary Tree Codes and Symmetric Exponential Energy Barriers for Passive Quantum Error Correction
- L‑Function Zeros as Gauge‑Invariant Spectra Across Archimedean and $p$‑adic Geometries
- Geometric Resonator Comb as an Engineered Non‑Markovian Bath for Superconducting Qubits
- Anthropocentric Invariants in Measurement: A Formal Taxonomy, Cross‑Ratio Analysis, and Quantitative Bias Assessment
- Ultrametric Bruhat–Tits Tree Codes for Latency‑Free Quantum Decoding
- Cross‑Ratios as Universal Atoms of Meaning: A Projective‑Invariant Framework for Likelihood, Information, and Decision Theory
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Ask the corpus
Questions answered from the papers, with citations and the knowledge graph around each answer.
Work with me
Energy-per-correct-answer assessments, reviews of AI agent operations, talks, collaboration and roles.
Ideas
Research conversations as they develop, with the questions that start them.
Archive
The library by field, feeds and the tools for finding your way through it.
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A free, private-by-default assistant for drafting US provisional patent disclosures.
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The QNFO Unified License Agreement: open science with commercial protections.