EvolutionProblem
class qiskit.algorithms.EvolutionProblem(hamiltonian, time, initial_state=None, aux_operators=None, truncation_threshold=1e-12, t_param=None, param_value_dict=None)
Bases: object
Deprecated: Evolution problem class.
The EvolutionProblem class has been superseded by the qiskit.algorithms.time_evolvers.TimeEvolutionProblem
class. This class will be deprecated in a future release and subsequently removed after that.
This class is the input to time evolution algorithms and must contain information on the total evolution time, a quantum state to be evolved and under which Hamiltonian the state is evolved.
The class qiskit.algorithms.evolvers.evolution_problem.EvolutionProblem
is deprecated as of qiskit-terra 0.24.0. It will be removed no earlier than 3 months after the release date. Instead, use the class qiskit.algorithms.time_evolvers.TimeEvolutionProblem
. See https://qisk.it/algo_migration for a migration guide.
Parameters
- hamiltonian (OperatorBase) – The Hamiltonian under which to evolve the system.
- time (float) – Total time of evolution.
- initial_state (StateFn |QuantumCircuit | None) – The quantum state to be evolved for methods like Trotterization. For variational time evolutions, where the evolution happens in an ansatz, this argument is not required.
- aux_operators (ListOrDict[OperatorBase] | None) – Optional list of auxiliary operators to be evaluated with the evolved
initial_state
and their expectation values returned. - truncation_threshold (float) – Defines a threshold under which values can be assumed to be 0. Used when
aux_operators
is provided. - t_param (Parameter | None) – Time parameter in case of a time-dependent Hamiltonian. This free parameter must be within the
hamiltonian
. - param_value_dict (dict[Parameter, complex] | None) – Maps free parameters in the problem to values. Depending on the algorithm, it might refer to e.g. a Hamiltonian or an initial state.
Raises
ValueError – If non-positive time of evolution is provided.
Attributes
time
Returns time.
Methods
validate_params
validate_params()
Checks if all parameters present in the Hamiltonian are also present in the dictionary that maps them to values.
Raises
ValueError – If Hamiltonian parameters cannot be bound with data provided.