ó Óz iõ ãóN•SrSSKJr SSKrSSKJr SSKJr SSSjjrg) zÐ Implementation of the GraySynth algorithm for synthesizing CNOT-Phase circuits with efficient CNOT cost, and the Patel-Hayes-Markov algorithm for optimal synthesis of linear (CNOT-only) reversible circuits. é)Ú annotationsN)ÚQuantumCircuit)Úsynth_cnot_count_full_pmhcóþ•[R"U5R[5nUb2URSU:a[ SUSURSS35e[ X!5n[R"USS9$)u“ Synthesize linear reversible circuits for all-to-all architecture using Patel, Markov and Hayes method. This function is an implementation of the Patel, Markov and Hayes algorithm from [1] for optimal synthesis of linear reversible circuits for all-to-all architecture, as specified by an :math:`n \times n` matrix. Args: state: :math:`n \times n` boolean invertible matrix, describing the state of the input circuit. section_size: The size of each section in the Patel–Markov–Hayes algorithm [1]. If ``None`` it is chosen to be :math:`\max(2, \alpha\log_2(n))` with :math:`\alpha = 0.56`, which approximately minimizes the upper bound on the number of row operations given in [1] Eq. (3). Returns: A CX-only circuit implementing the linear transformation. Raises: ValueError: When ``section_size`` is larger than the number of columns. References: 1. Patel, Ketan N., Igor L. Markov, and John P. Hayes, *Optimal synthesis of linear reversible circuits*, Quantum Information & Computation 8.3 (2008): 282-294. `arXiv:quant-ph/0302002 [quant-ph] `_ ézThe section_size (z/) cannot be larger than the number of columns (z).T)Ú legacy_qubits) ÚnpÚasarrayÚastypeÚboolÚshapeÚ ValueErrorÚfast_pmhrÚ_from_circuit_data)ÚstateÚ section_sizeÚ normalizedÚ circuit_datas Ú\/home/james-whalen/.local/lib/python3.13/site-packages/qiskit/synthesis/linear/cnot_synth.pyrrs‡€ô>—’˜EÓ"×)Ñ)¬$Ó/€JØÑ J×$4Ñ$4°QÑ$7¸,Ó$FÜØ   ð/Ø× Ñ  Ñ#Ð$ Bð (ó ð ô ˜JÓ5€Lô × ,Ò ,¨\ÈÑ NÐNó)N)rz#list[list[bool]] | np.ndarray[bool]rz int | NoneÚreturnr) Ú__doc__Ú __future__rÚnumpyr Úqiskit.circuitrÚ#qiskit._accelerate.synthesis.linearrr©rrÚrs@ðñõ #ãÝ)åUðLPð*OØ .ð*OØ>Hð*Oàö*Or