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)

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.

Parameters

• 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)

Parameters

• 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.

Return type

Union[Backend, BaseBackend]

construct_circuit()

Construct the circuit.

Returns

the circuit.

Return type

QuantumCircuit

property quantum_instance

Returns quantum instance.

Return type

Optional[QuantumInstance]

property random

Return a numpy random.

run(quantum_instance=None, **kwargs)

Execute the algorithm with selected backend.

Parameters

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

• kwargs (dict) – kwargs

Returns

results of an algorithm.

Return type

dict

Raises

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

set_backend(backend, **kwargs)

Sets backend with configuration.

Return type

None