R-layer Mode Theory (RLMT) LXII: R-layer Gravitational Waves, Quantum Information, and Cosmology

This volume develops the R-layer framework for gravitational waves, quantum information, and cosmology. It derives tensor perturbation equations from an R-layer effective action, constructs entanglement wedges in effective geometry, formulates initial conditions via variational principles, and provides observational predictions for gravitational-wave spectra across CMB, PTA, and interferometer bands.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-30
DOI
https://doi.org/10.5281/zenodo.21052715
Primary Topic
Pulsars and Gravitational Waves Research
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

R-layer Mode Theory (RLMT) LXII: R-layer Gravitational Waves, Quantum Information, and Cosmology

Tsuyoshi Tohi
Zenodo (CERN European Organization for Nuclear Research)
Pulsars and Gravitational Waves Research
preprint

R-layer Mode Theory (RLMT) LXII: R-layer Gravitational Waves, Quantum Information, and Cosmology

Tsuyoshi Tohi
preprint en

Abstract

This volume develops the R-layer framework for gravitational waves, quantum information, and cosmology. It derives tensor perturbation equations from an R-layer effective action, constructs entanglement wedges in effective geometry, formulates initial conditions via variational principles, and provides observational predictions for gravitational-wave spectra across CMB, PTA, and interferometer bands.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Pulsars and Gravitational Waves Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.