TrotterQRTE¶

class TrotterQRTE(product_formula=None, expectation=None, quantum_instance=None)[source]¶

Bases: qiskit.algorithms.evolvers.real_evolver.RealEvolver

Pending deprecation: Quantum Real Time Evolution using Trotterization.

The TrotterQRTE class has been superseded by the qiskit.algorithms.time_evolvers.trotterization.TrotterQRTE class. This class will be deprecated in a future release and subsequently removed after that.

Type of Trotterization is defined by a ProductFormula provided.

Examples:

from qiskit.opflow import X, Z, Zero
from qiskit.algorithms import EvolutionProblem, TrotterQRTE
from qiskit import BasicAer
from qiskit.utils import QuantumInstance

operator = X + Z
initial_state = Zero
time = 1
evolution_problem = EvolutionProblem(operator, 1, initial_state)
# LieTrotter with 1 rep
backend = BasicAer.get_backend("statevector_simulator")
quantum_instance = QuantumInstance(backend=backend)
trotter_qrte = TrotterQRTE(quantum_instance=quantum_instance)
evolved_state = trotter_qrte.evolve(evolution_problem).evolved_state

Parameters

product_formula (Optional[ProductFormula]) – A Lie-Trotter-Suzuki product formula. The default is the Lie-Trotter first order product formula with a single repetition.
expectation (Optional[ExpectationBase]) – An instance of ExpectationBase which defines a method for calculating expectation values of EvolutionProblem.aux_operators.
quantum_instance (Union[Backend, QuantumInstance, None]) – A quantum instance used for calculating expectation values of EvolutionProblem.aux_operators.

Methods

`evolve`	Evolves a quantum state for a given time using the Trotterization method based on a product formula provided.
`supports_aux_operators`	Whether computing the expectation value of auxiliary operators is supported.

Attributes

expectation¶

Returns an expectation used in the algorithm.

Return type: Optional[ExpectationBase]

product_formula¶

Returns a product formula used in the algorithm.

Return type: ProductFormula

quantum_instance¶

Returns a quantum instance used in the algorithm.

Return type: Optional[QuantumInstance]