Auto-Block-Encoding-in-Sleep

Oracle-to-Block-Encoding Task Builder

Testing preview

Target Oracle

Paste a LaTeX operator, matrix formula, or natural-language oracle requirement. This testing preview creates a task packet for ABEIS agents; Lean is still the final verifier.

Run location and API ownership

The public page should run with the user's own resources. For a static deployment, this section generates a runner packet; a self-hosted runner can read the same fields and call the user's API.

User / Pro insight injection

Optional external ideas enter the insight pool. In Game Harness mode, the Game Council decides whether they go to the Natural-Language Team for proof review, to the Lean Team for formalization, or to rejected-route memory. They are never plotted as achieved solutions until Lean certifies them.

Executable exports after Lean certification

ABEIS treats Lean as the proof authority. These options request runnable artifacts after the matching Lean theorem is accepted.

Agent backend preferences

These preferences are written into the generated ABEIS packet. The website does not call model APIs; your local harness or server runner maps them to installed CLIs or wrappers. In Game Harness mode, the Natural-Language Team and Lean Team each have upper/middle/lower layers. They compete in their own language, then exchange useful insights through the Game Council.

Generated Agent Packet

ABEIS acceptance and ranking

  1. Correctness is accepted only after Lean proves unitarity and the requested block-entry theorem.
  2. Compare asymptotic tiers first: polylogarithmic growth beats polynomial growth.
  3. Inside one tier, rank by gate count, then depth, then auxiliary qubits, then unresolved oracle calls.
  4. After Lean certification, generate the selected Qiskit, QuantumKatas, or QASM artifacts for users.
  5. When a run closes, compare harnesses by generated exact/approximate evolution curves and circuit storyboards.

Run dashboard contract

  • Per-harness status: active phase, current champion, blocked leaf, and next action.
  • Exact and approximate BE curves: only Lean-certified candidates are plotted as achieved points.
  • Circuit storyboard: one diagram per certified exact/approximate candidate.
  • Reports: selected-language summary, ChatGPT Pro prompt when unresolved, and user-copyable LaTeX proof after Lean closure.

Run dashboard preview

Local mode: run ABEIS in the downloaded repository and paste `reports/<task-id>/dashboard.json` or `evolution.json` here. Hosted mode: connect this page to a user-owned runner endpoint or API-backed service, then render the same JSON outputs.