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.

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, BaseBackend, None]) – Quantum Instance or Backend

Attributes

EOH.backend

Returns backend.

EOH.quantum_instance

Returns quantum instance.

EOH.random

Return a numpy random.

Methods

EOH.construct_circuit()

Construct the circuit.

EOH.run([quantum_instance])

Execute the algorithm with selected backend.

EOH.set_backend(backend, **kwargs)

Sets backend with configuration.