ThatAIguyA world of ideas

THE CONSCIOUSNESS ATLAS
Read. Experiment. Follow the evidence.

ConsciousnessLearn · Explore · Joseph Anady

p relation

This statement fixes a parameter value for the documented model version. Its effect depends on the equation or update rule that consumes that parameter; it is retained separately from a governing law.

Research mathematicsdocumented formula
Learn with the Atlas

Learn to read this model

Start with the symbols, follow the operations, and check what the result means.

Open guided lesson
eq-b6bef5b89bc9e7parameter definition
p=2p=2

Read the equation

This statement fixes a parameter value for the documented model version. Its effect depends on the equation or update rule that consumes that parameter; it is retained separately from a governing law.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

  1. Read p as the quantity being defined or updated by this relation.

  2. Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.

  3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.

Original context

Read the surrounding source passage
|\psi_p\rangle=\prod_{\ell=1}^{p}
e^{-i\beta_\ell\sum_{q=1}^{m}X_q}e^{-i\gamma_\ell H_C}|+\rangle^{\otimes m},
\quad p\in\{1,2\}.
\end{equation*}
Valid diagonal entries are $J(S)/\max J$; the single invalid all-in-one bitstring has cost 2. Three COBYLA starts minimize the \emph{exact penalized expectation}, with 160 evaluations per start at $p=1$ and 240 at $p=2$. Selection never uses optimal-state probability. All $p=2$ starts exhausted this budget; convergence is not asserted. After training, ten independent 256-shot batches are sampled, retaining the lowest-cost valid observed partition. Invalid shots are counted, not replaced. Uniform search uses ten batches of 256 draws from valid partitions.

\callout{\textbf{Resource accounting.} This is a dense-diagonal QAOA simulator, not an efficient QUBO encoding or a transpiled hardware circuit. Building its full cost table already performs exhaustive search. QAOA also receives noiseless expectation values during training. The comparison measures output quality at stated, unequal budgets; it does not demonstrate a speedup.}
[Context excerpt; full source linked.]
Exact original notation
p=2

Related builds

Sources & provenance

01
prototype.tex
line 83
p=2
02
prototype.tex
line 103
p=2

Search equations, builds, manuscript text, and recovered sources.