Quantum Computing, Information and Physics in qang Space

A treatise on the qg unit, the symmetry filter and their applications

Author

Vicente Humberto Monteverde

Published

January 1, 2026

Preface

This book gathers, in reading order, the results of a research programme built on a simple idea: describing the qubit by what is measured. The qang unit (qg) expresses a qubit’s state on the scale on which the experiment delivers it, the polar bias \(qg_Z=\langle\sigma_z\rangle\), and that choice yields a practical tool, the qg symmetry filter: when a circuit conserves a number (excitations, photons, neutrino flavour, mass), the shots that violate it can only come from noise and are discarded.

The book goes from the foundations (Parts I and II) to the applications: neutrinos (Part III), teleportation in optical networks (Part IV), information-theoretic models of time loops and black holes (Part V), cryptography (Part VI), quantum machine learning (Part VII), dynamics and chemistry (Part VIII), error correction and characterization (Part IX). Part X gathers the evidence: the method, the confirmed advantages, the limits and the negative results, and the first run on real hardware.

How to read the results

Three conventions run through the book:

Predictions recorded before running. Every experiment cited fixed its predictions before it was run (a commit or a sha256 hash of the script), and is reported as passed or failed. Failures are not left out: many of the book’s lessons come from them.
Simulated noise unless stated. Whatever is described “on a device” refers to calibrated noise models of IBM or IonQ processors, except for the real-hardware results, which are marked explicitly (Chapter 31).
References to the notes. Citations such as (§151) point to the corresponding section of the project’s research notes (RESEARCH_NOTES.md), where the code, the tests and the data are.

Code and data

All the material is open: the qang library (pip install qang), the script of every experiment, the runnable notebooks and the data are at github.com/Viny2030/qang. The software record has the DOI 10.5281/zenodo.22832150.

Status of this edition

The book is written and published chapter by chapter. Chapters marked “in preparation” show their planned contents and are completed in successive editions.

Vicente Humberto Monteverde — Universidad del Museo Social Argentino (UMSA), Argentina. ORCID 0000-0001-8884-4811.