§ º³ÙgRãó„—dZddlmZddlmZmZddlmZmZddl Z ddl m Z Gd„de e¦«Z Gd „d e¦«ZdS) z3Base classes for an approximate circuit definition.é)Ú annotations)ÚABCÚabstractmethod)ÚOptionalÚ SupportsFloatN)ÚQuantumCircuitcóf‡—eZdZdZddˆfd „ Zeedd „¦«¦«Zedd „¦«ZˆxZ S)ÚApproximateCircuitz4A base class that represents an approximate circuit.NÚ num_qubitsÚintÚnameú Optional[str]ÚreturnÚNonecóN•—t¦« ||¬¦«dS)z€ Args: num_qubits: number of qubit this circuit will span. name: a name of the circuit. )r N)ÚsuperÚ__init__)Úselfr r Ú __class__s €ú^/granary/edev/quantum/lib/python3.11/site-packages/qiskit/synthesis/unitary/aqc/approximate.pyrzApproximateCircuit.__init__s(ø€õ ‰Œ×Ò˜¨$ÐÑ/Ô/Ð/Ð/Ð/óú np.ndarraycó—t‚)z« The property is not implemented and raises a ``NotImplementedException`` exception. Returns: a vector of parameters of this circuit. ©ÚNotImplementedError©rs rÚthetaszApproximateCircuit.thetas ó €õ"Ð!rrcó—t‚)zç Constructs this circuit out of the parameters(thetas). Parameter values must be set before constructing the circuit. Args: thetas: a vector of parameters to be set in this circuit. r)rrs rÚbuildzApproximateCircuit.build+rr©N)r r r rrr©rr)rrrr) Ú__name__Ú __module__Ú __qualname__Ú__doc__rÚpropertyrrr Ú __classcell__)rs@rr r s’ø€€€€€Ø>Ð>ð0ð0ð0ð0ð0ð0ð0ðØð"ð"ð"ñ„^ñ„Xð"ðð"ð"ð"ñ„^ð"ð"ð"ð"ð"rr có¬—eZdZdZdd„Zedd„¦«Zedd „¦«Zedd „¦«Z e j dd „¦«Z eedd„¦«¦«Z dS)ÚApproximatingObjectivea/ A base class for an optimization problem definition. An implementing class must provide at least an implementation of the ``objective`` method. In such case only gradient free optimizers can be used. Both method, ``objective`` and ``gradient``, preferable to have in an implementation. rrcó—d|_dSr!©Ú_target_matrixrs rrzApproximatingObjective.__init__>s€à15ˆÔÐÐrÚ param_valuesrrcó—t‚)a  Computes a value of the objective function given a vector of parameter values. Args: param_values: a vector of parameter values for the optimization problem. Returns: a float value of the objective function. r©rr.s rÚ objectivez ApproximatingObjective.objectiveBó €õ"Ð!rcó—t‚)a Computes a gradient with respect to parameters given a vector of parameter values. Args: param_values: a vector of parameter values for the optimization problem. Returns: an array of gradient values. rr0s rÚgradientzApproximatingObjective.gradientOr2rcó—|jS)zB Returns: a matrix being approximated r,rs rÚ target_matrixz$ApproximatingObjective.target_matrix\s €ð Ô"Ð"rr6có—||_dS)zi Args: target_matrix: a matrix to approximate in the optimization procedure. Nr,)rr6s rr6z$ApproximatingObjective.target_matrixds€ð ,ˆÔÐÐrr có—t‚)z^ Returns: the number of parameters in this optimization problem. rrs rÚ num_thetasz!ApproximatingObjective.num_thetasls €õ"Ð!rN)rr)r.rrr)r.rrrr")r6rrr)rr ) r#r$r%r&rrr1r4r'r6Úsetterr9©rrr*r*7sà€€€€€ððð 6ð6ð6ð6ðð "ð "ð "ñ„^ð "ðð "ð "ð "ñ„^ð "ðð#ð#ð#ñ„Xð#ðÔð,ð,ð,ñÔð,ðØð"ð"ð"ñ„^ñ„Xð"ð"ð"rr*)r&Ú __future__rÚabcrrÚtypingrrÚnumpyÚnpÚqiskit.circuit.quantumcircuitrr r*r;rrúrBsÎðð:Ð9Ø"Ð"Ð"Ð"Ð"Ð"Ø#Ð#Ð#Ð#Ð#Ð#Ð#Ð#Ø*Ð*Ð*Ð*Ð*Ð*Ð*Ð*ØÐÐÐà8Ð8Ð8Ð8Ð8Ð8ð"ð"ð"ð"ð"˜¨ñ"ô"ð"ðD="ð="ð="ð="ð="˜Sñ="ô="ð="ð="ð="r