openfermioncirq.VariationalAnsatz

class openfermioncirq.VariationalAnsatz(qubits: Optional[Sequence[cirq.ops.raw_types.Qid]] = None)

A variational ansatz.

A variational ansatz is a parameterized circuit. The VariationalAnsatz class stores parameters as instances of the Symbol class. A Symbol is simply a named object that can be used in a circuit and whose numerical value is determined at run time. The Symbols are stored in a dictionary whose keys are the names of the corresponding parameters. For instance, the Symbol corresponding to the parameter ‘theta_0’ would be obtained with the expression self.params[‘theta_0’].

params

A dictionary storing the parameters by name. Key is the string name of a parameter and the corresponding value is a Symbol with the same name.

circuit

The ansatz circuit.

qubits

A list containing the qubits used by the ansatz circuit.

__init__(qubits: Optional[Sequence[cirq.ops.raw_types.Qid]] = None) → None

Parameters:qubits – Qubits to be used by the ansatz circuit. If not specified, then qubits will automatically be generated by the _generate_qubits method.

Methods

__init__(qubits)	param qubits:Qubits to be used by the ansatz circuit. If not specified,
default_initial_params()	Suggested initial parameter settings.
operations(qubits)	Produce the operations of the ansatz circuit.
param_bounds()	Optional bounds on the parameters.
param_resolver(param_values)	Interprets parameters input as an array of real numbers.
param_scale_factors()	Coefficients to scale parameters by during optimization.
params()	The parameters of the ansatz.
qubit_permutation(qubits)	The qubit permutation induced by the ansatz circuit.