RESEARCH • INFORMATION–ENERGETIC THERMODYNAMICS (IET)

Information–Energetic Thermodynamics (IET)

IET is a physical analytical method focused on computing and understanding the relationship between energy, information, and time in quantum and mesoscopic systems. Its central aim is to move the concept of reversibility from an abstract notion to a practically usable, measurable, and transferable design quantity.

Motivation and scientific context

Modern computing and measurement platforms face physical limits: noise, dissipation, limited coherence, the energetic cost of control, and time-dependent degradation of information. IET addresses this by creating a unified framework that quantifies the “cost of information stability over time” and describes when a system approaches the reversible limit and when unavoidable irreversibility becomes the dominant factor.

Core idea

In IET, information is treated as a physical state that must be maintained against entropy. Consequently, every informational operation—and the preservation of information over time—carries an energetic signature. IET unifies these aspects into a dimensionless metric that enables comparison across different platforms and regimes.

IET metric: a dimensionless criterion of reversibility

Ñt = P / ( (kB · Teff · ln 2) · Ĩ )
P is the power referenced to a clearly defined reference plane; Teff is the effective temperature/noise temperature of the relevant information channel; Ĩ is the maximally achievable information rate defined in terms of channel capacity. Working interpretation of IET: the regime of critical efficiency and proximity to the reversible limit occurs for Ñt → 1 (from above).

IET emphasizes operationalization: the metric should be computable from measurable quantities and reproducible across laboratories. Normalization to the Landauer scale introduces a natural physical “benchmark” for energy per bit and enables unified comparison of systems operating in different regimes.

IET research pillars

Q Quantum platforms and coherence

Formulation of the IET metric for regimes near quantum limits and its relationship to information stability over time. Emphasis on defining the power reference plane, Teff, and a capacity-based estimate of Ĩ for fair replication.

M Autonomous feedback and Maxwell’s demon

Analysis of autonomous feedback-controlled systems where energy flows and information production can be compared explicitly. A platform for testing the critical threshold Ñt ≈ 1 as an operational efficiency boundary.

D A design language of reversibility

Translating the metric into design: precomputing energetic costs of information stability and defining target regimes that minimize dissipation at a required information rate and temporal stability.

Methodology and operationalization

IET is constructed so that its metric is computable from clearly defined quantities and transferable across experimental platforms. Emphasis is placed on:

  • defining the power reference plane for P,
  • consistent estimation of Teff as the effective noise temperature of the relevant channel,
  • a capacity-based definition of Ĩ as a physical upper bound on information rate,
  • normalization to Landauer energy per bit and interpretation of proximity to the reversible limit.

In this way, the method can be used both for theoretical analysis and for practical comparison of platform designs and for formulating testable predictions.

IET materials

IET — main methodological document

Complete definition of IET, derivation of the key metric Ñt, and a design-oriented interpretation of reversibility in quantum and mesoscopic systems. This document serves as the methodological basis for reproducing calculations and consistently defining measured quantities.

Qubit Efficiency at the Landauer Limit

Practical operationalization of the metric in a quantum platform. Emphasis on the capacity-based definition of Ĩ, the choice of the power reference plane, and the role of Teff when interpreting proximity to the reversible limit.

Chip-based autonomous Maxwell’s demon

An analytical link between energy flow and information production in an autonomous feedback-controlled system. A suitable environment for testing the critical boundary Ñt ≈ 1 as an operational efficiency threshold.

Experimental designs and validation protocols

A set of methodologies for verifying the invariant metric across domains: measurement procedures, metrological frameworks, estimation of Ĩ, normalization to the Landauer scale, and criteria for confirmation and falsification.

The materials are structured to separate quantity definitions, mathematical derivations, and practical metrology. The goal is a unified professional foundation for dialogue, reproducibility of calculations, and preparation of laboratory tests.

Summary

IET provides a unified analytical framework for quantifying the relationship between energy, information, and time and introduces a dimensionless criterion of reversibility intended to be reproducible and transferable across platforms. The research is conceived as a design methodology: from precise definitions, through mathematical derivations, to experimental operationalization.