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[P2][RAM] Reproduce n<=24 and profile transfer-matrix extension #11

Description

@LightChainr

Goal

Reproduce the cylindrical and helical finite-width sequences through the published frontier before attempting a larger width. Build an honest state-count, memory, and runtime model for n=25..28.

Priorities

  1. Canonical compact encoding of non-crossing connectivity states.
  2. Translation/reflection/topological-sector quotienting where valid.
  3. Matrix-free dominant-eigenvalue iteration.
  4. Deterministic sparse transition generation and hashing.
  5. Checkpoint/restart and state sharding.
  6. Modular or mixed-precision methods only after their error model is established.

Deliverables

  • Reproduced p_c(n) values and digit agreement report.
  • State counts, transition counts, peak RSS, and time per iteration for every width.
  • Extrapolated resource table for widths 25–28.
  • A profile showing whether computation is limited by arithmetic, hashing, memory bandwidth, or eigensolver convergence.
  • Checkpoint format and transition hashes.

Acceptance

  • Published widths and digits are reproduced before claiming an extension.
  • Two independent paths validate state canonicalization on small widths.
  • Hardware rental is justified by measured scaling, not guesswork.

Hardware

The 8-core/16-GB Debian host is suitable for implementation and sub-frontier reproduction. A high-memory CPU node—likely 256 GB or more—is more plausible for frontier work than a single consumer GPU. GPU acceleration is exploratory and low priority until matrix-free profiles identify a suitable kernel.

Tracked as T07 in experiments/tasks.yaml.

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priority:P2Deferred research or on-demand support; no default new compute allocation.

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