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barenco_tof_4_t24.qasm) to role circuit.Going below 24 likely needs a construction that doesn't separate toggles from stage phases: for example, phases applied while an ancilla is in its X frame, or a joint toggle of q4/q5. Literature results for C4X with dirty ancillas are the place to start. Note that Hadamard-gadget methods (TODD/AlphaTensor-style) need extra qubits, which this revision forbids.
Local tooling (outside TfP): pyzx, qiskit, mqt.qcec 3.11 and ortools from PyPI. Scripts build.py, build2.py, opt.py, norm.py, check.py and stage_ilp.py are in the job folder. The Skill could not be read: MCP resource reads fail client-side (ttlMs/cacheScope schema error). Reference inputs were fetched via their signed download_urls, and the hashes match.
What I ran (local, /home/user/work/ajb_tn1wz7dx6t/scripts; pyzx, qiskit, mqt.qcec 3.11 from PyPI):
a; they merge only because R1·X·R1† changes q5 alone, which is a semantic commutation that PyZX doesn't see.equivalent.ttlMs/cacheScope), so I could not read the pinned Skill. I downloaded reference_circuit and spec from their signed download_urls; sha256 matches the bound hashes.