qiskit.aqua.algorithms.EOH¶

class EOH(operator, initial_state, evo_operator, evo_time=1, num_time_slices=1, expansion_mode='trotter', expansion_order=1, quantum_instance=None)[source]¶

The Quantum EOH (Evolution of Hamiltonian) algorithm.

EOH provides the lower-level building blocks for simulating universal quantum systems. For any given quantum system that can be decomposed into local interactions (for example, a global hamiltonian as the weighted sum of several Pauli spin operators), the local interactions can then be used to approximate the global quantum system via, for example, Lloyd’s method or Trotter-Suzuki decomposition.

Paramètres

operator (LegacyBaseOperator) – Operator to evaluate
initial_state (InitialState) – Initial state for evolution
evo_operator (LegacyBaseOperator) – Operator to evolve
evo_time (float) – Evolution time, has min value of 0
num_time_slices (int) – Number of time slices, has minimum value of 1
expansion_mode (str) – Either "trotter" (Lloyd’s method) or "suzuki" (for Trotter-Suzuki expansion)
expansion_order (int) – The Trotter-Suzuki expansion order.
quantum_instance (Union[QuantumInstance, Backend, BaseBackend, None]) – Quantum Instance or Backend

__init__(operator, initial_state, evo_operator, evo_time=1, num_time_slices=1, expansion_mode='trotter', expansion_order=1, quantum_instance=None)[source]¶

Paramètres

operator (LegacyBaseOperator) – Operator to evaluate
initial_state (InitialState) – Initial state for evolution
evo_operator (LegacyBaseOperator) – Operator to evolve
evo_time (float) – Evolution time, has min value of 0
num_time_slices (int) – Number of time slices, has minimum value of 1
expansion_mode (str) – Either "trotter" (Lloyd’s method) or "suzuki" (for Trotter-Suzuki expansion)
expansion_order (int) – The Trotter-Suzuki expansion order.
quantum_instance (Union[QuantumInstance, Backend, BaseBackend, None]) – Quantum Instance or Backend

Methods

`__init__`(operator, initial_state, evo_operator)	type operator `LegacyBaseOperator`
`construct_circuit`()	Construct the circuit.
`run`([quantum_instance])	Execute the algorithm with selected backend.
`set_backend`(backend, **kwargs)	Sets backend with configuration.

Attributes

`backend`	Returns backend.
`quantum_instance`	Returns quantum instance.
`random`	Return a numpy random.

property backend¶

Returns backend.

Type renvoyé: Union[Backend, BaseBackend]

construct_circuit()[source]¶

Construct the circuit.

Renvoie: the circuit.
Type renvoyé: QuantumCircuit

property quantum_instance¶

Returns quantum instance.

Type renvoyé: Optional[QuantumInstance]

property random¶: Return a numpy random.

run(quantum_instance=None, **kwargs)¶

Execute the algorithm with selected backend.

Paramètres

quantum_instance (Union[QuantumInstance, Backend, BaseBackend, None]) – the experimental setting.
kwargs (dict) – kwargs

Renvoie

results of an algorithm.

Type renvoyé

dict

Lève

AquaError – If a quantum instance or backend has not been provided

set_backend(backend, **kwargs)¶

Sets backend with configuration.

Type renvoyé: None