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Structure before circuit tricks

Gibbs invariance versus mixing

Does the generator only preserve the target, or converge to it with a useful rate?

\[\mathcal L(\rho_\beta)=0\quad\not\Rightarrow\quad t_{\rm mix}=\operatorname{poly}(n,\beta)\]

What this technique preserves

Connect invariance, reversibility/detailed balance, coercivity and error contraction only through explicit model-specific hypotheses.

Hypotheses and hidden contracts

  • Specified Hamiltonian, temperature and target state
  • Primitive semigroup and quantitative convergence assumptions when used
  • Implementation and mixing error separated

Mathematical proof mechanism

This is an authored reusable derivation guide, not a claim that the full family has been source-assimilated.

  1. Prove the invariant-state equation.
  2. Identify the quantitative coercivity/mixing certificate still missing.
  3. Compose convergence with implemented-channel error.

Exact Lean substrates

No local transport theorem is bound to this record. Do not infer formal truth from its position in the atlas.

Do not cross this boundary

This is a conceptual connection to Samplinglib, not a transfer of classical LSI results to arbitrary quantum generators.

Related transports

A coercivity mechanism, not an equality of samplers — proposal

Source and prior-art ledger

Copy mathematical mechanism as LaTeX
% Authored mechanism lesson; not a new theorem certificate.
\section*{Gibbs invariance versus mixing}
Does the generator only preserve the target, or converge to it with a useful rate?
\[
\mathcal L(\rho_\beta)=0\quad\not\Rightarrow\quad t_{\rm mix}=\operatorname{poly}(n,\beta)
\]
Connect invariance, reversibility/detailed balance, coercivity and error contraction only through explicit model-specific hypotheses.
\paragraph{Hypotheses and contracts.}
\begin{enumerate}
\item Specified Hamiltonian, temperature and target state
\item Primitive semigroup and quantitative convergence assumptions when used
\item Implementation and mixing error separated
\end{enumerate}
\paragraph{Mathematical proof mechanism.}
This is a reusable derivation guide; exact certified scope is given by the linked Lean signatures.
\begin{enumerate}
\item Prove the invariant-state equation.
\item Identify the quantitative coercivity/mixing certificate still missing.
\item Compose convergence with implemented-channel error.
\end{enumerate}
\paragraph{Boundary.} This is a conceptual connection to Samplinglib, not a transfer of classical LSI results to arbitrary quantum generators.

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