qiskit.aqua.algorithms.IQPE¶

class
IQPE
(operator=None, state_in=None, num_time_slices=1, num_iterations=1, expansion_mode='suzuki', expansion_order=2, shallow_circuit_concat=False, quantum_instance=None)[소스]¶ The Iterative Quantum Phase Estimation algorithm.
IQPE, as its name suggests, iteratively computes the phase so as to require fewer qubits. It has the same set of parameters as
QPE
, except for the number of ancillary qubits num_ancillae, being replaced by num_iterations and that an Inverse Quantum Fourier Transform (IQFT) is not used for IQPE.Reference:
 [1]: Dobsicek et al. (2006), Arbitrary accuracy iterative phase estimation algorithm as a two
qubit benchmark, arxiv/quantph/0610214
 매개변수
operator (
Union
[OperatorBase
,LegacyBaseOperator
,None
]) – The hamiltonian Operatorstate_in (
Union
[QuantumCircuit
,InitialState
,None
]) – An InitialState component representing an initial quantum state.num_time_slices (
int
) – The number of time slices, has a minimum value of 1.num_iterations (
int
) – The number of iterations, has a minimum value of 1.expansion_mode (
str
) – The expansion mode (‘trotter’’suzuki’)expansion_order (
int
) – The suzuki expansion order, has a min. value of 1.shallow_circuit_concat (
bool
) – Set True to use shallow (cheap) mode for circuit concatenation of evolution slices. By default this is False.quantum_instance (
Union
[QuantumInstance
,Backend
,BaseBackend
,None
]) – Quantum Instance or Backend

__init__
(operator=None, state_in=None, num_time_slices=1, num_iterations=1, expansion_mode='suzuki', expansion_order=2, shallow_circuit_concat=False, quantum_instance=None)[소스]¶  매개변수
operator (
Union
[OperatorBase
,LegacyBaseOperator
,None
]) – The hamiltonian Operatorstate_in (
Union
[QuantumCircuit
,InitialState
,None
]) – An InitialState component representing an initial quantum state.num_time_slices (
int
) – The number of time slices, has a minimum value of 1.num_iterations (
int
) – The number of iterations, has a minimum value of 1.expansion_mode (
str
) – The expansion mode (‘trotter’’suzuki’)expansion_order (
int
) – The suzuki expansion order, has a min. value of 1.shallow_circuit_concat (
bool
) – Set True to use shallow (cheap) mode for circuit concatenation of evolution slices. By default this is False.quantum_instance (
Union
[QuantumInstance
,Backend
,BaseBackend
,None
]) – Quantum Instance or Backend
Methods
__init__
([operator, state_in, …]) type operator
Union
[OperatorBase
,LegacyBaseOperator
,None
]
compute_minimum_eigenvalue
([operator, …])Computes minimum eigenvalue.
construct_circuit
([k, omega, measurement])Construct the kth iteration Quantum Phase Estimation circuit.
run
([quantum_instance])Execute the algorithm with selected backend.
set_backend
(backend, **kwargs)Sets backend with configuration.
Whether computing the expectation value of auxiliary operators is supported.
Attributes
Returns aux operators
Returns backend.
Returns operator
Returns quantum instance.
Return a numpy random.

property
aux_operators
¶ Returns aux operators
 반환 형식
Optional
[List
[Union
[OperatorBase
,LegacyBaseOperator
]]]

property
backend
¶ Returns backend.
 반환 형식
Union
[Backend
,BaseBackend
]

compute_minimum_eigenvalue
(operator=None, aux_operators=None)[소스]¶ Computes minimum eigenvalue. Operator and aux_operators can be supplied here and if not None will override any already set into algorithm so it can be reused with different operators. While an operator is required by algorithms, aux_operators are optional. To ‘remove’ a previous aux_operators array use an empty list here.
 매개변수
operator (
Union
[OperatorBase
,LegacyBaseOperator
,None
]) – If not None replaces operator in algorithmaux_operators (
Optional
[List
[Union
[OperatorBase
,LegacyBaseOperator
]]]) – If not None replaces aux_operators in algorithm
 반환 형식
MinimumEigensolverResult
 반환값
MinimumEigensolverResult

construct_circuit
(k=None, omega=0, measurement=False)[소스]¶ Construct the kth iteration Quantum Phase Estimation circuit.
For details of parameters, please see Fig. 2 in https://arxiv.org/pdf/quantph/0610214.pdf.
 매개변수
k (
Optional
[int
]) – the iteration idx.omega (
float
) – the feedback angle.measurement (
bool
) – Boolean flag to indicate if measurement should be included in the circuit.
 반환값
the quantum circuit per iteration
 반환 형식

property
operator
¶ Returns operator
 반환 형식
Union
[OperatorBase
,LegacyBaseOperator
,None
]

property
quantum_instance
¶ Returns quantum instance.
 반환 형식
Optional
[QuantumInstance
]

property
random
¶ Return a numpy random.

run
(quantum_instance=None, **kwargs)¶ Execute the algorithm with selected backend.
 매개변수
quantum_instance (
Union
[QuantumInstance
,Backend
,BaseBackend
,None
]) – the experimental setting.kwargs (dict) – kwargs
 반환값
results of an algorithm.
 반환 형식
dict
 예외
AquaError – If a quantum instance or backend has not been provided

set_backend
(backend, **kwargs)¶ Sets backend with configuration.
 반환 형식
None

classmethod
supports_aux_operators
()¶ Whether computing the expectation value of auxiliary operators is supported.
If the minimum eigensolver computes an eigenstate of the main operator then it can compute the expectation value of the aux_operators for that state. Otherwise they will be ignored.
 반환 형식
bool
 반환값
True if aux_operator expectations can be evaluated, False otherwise