qiskit.algorithms.PVQD.step

PVQD.step(hamiltonian, ansatz, theta, dt, initial_guess)

Perform a single time step.

Parameters

• hamiltonian (BaseOperator | PauliSumOp) -- The Hamiltonian under which to evolve.

• ansatz (QuantumCircuit) -- The parameterized quantum circuit which attempts to approximate the time-evolved state.

• theta (np.ndarray) -- The current parameters.

• dt (float) -- The time step.

• initial_guess (np.ndarray) -- The initial guess for the classical optimization of the fidelity between the next variational state and the Trotter-evolved last state. If None, this is set to a random vector with elements in the interval \([-0.01, 0.01]\).

Returns

A tuple consisting of the next parameters and the fidelity of the optimization.

Return type

tuple[np.ndarray, float]