VarQRTE#

class qiskit.algorithms.VarQRTE(ansatz, initial_parameters, variational_principle=None, estimator=None, ode_solver=<class 'qiskit.algorithms.time_evolvers.variational.solvers.ode.forward_euler_solver.ForwardEulerSolver'>, lse_solver=None, num_timesteps=None, imag_part_tol=1e-07, num_instability_tol=1e-07)[source]#

Bases: VarQTE, RealTimeEvolver

Variational Quantum Real Time Evolution algorithm.

Parameters:

  • ansatz (QuantumCircuit) -- Ansatz to be used for variational time evolution.

  • initial_parameters (Mapping[Parameter, float] | Sequence[float]) -- Initial parameter values for an ansatz.

  • variational_principle (RealVariationalPrinciple | None) -- Variational Principle to be used. Defaults to RealMcLachlanPrinciple.

  • estimator (BaseEstimator | None) -- An estimator primitive used for calculating expectation values of TimeEvolutionProblem.aux_operators.

  • ode_solver (Type[OdeSolver] | str) -- ODE solver callable that implements a SciPy OdeSolver interface or a string indicating a valid method offered by SciPy.

  • lse_solver (Callable[[np.ndarray, np.ndarray], np.ndarray] | None) -- Linear system of equations solver callable. It accepts A and b to solve Ax=b and returns x. If None, the default np.linalg.lstsq solver is used.

  • num_timesteps (int | None) -- The number of timesteps to take. If None, it is automatically selected to achieve a timestep of approximately 0.01. Only relevant in case of the ForwardEulerSolver.

  • imag_part_tol (float) -- Allowed value of an imaginary part that can be neglected if no imaginary part is expected.

  • num_instability_tol (float) -- The amount of negative value that is allowed to be rounded up to 0 for quantities that are expected to be non-negative.

Methods

evolve(evolution_problem)#

Apply Variational Quantum Time Evolution to the given operator.

Parameters:

evolution_problem (TimeEvolutionProblem) -- Instance defining an evolution problem.

Returns:

Result of the evolution which includes a quantum circuit with bound parameters as an evolved state and, if provided, observables evaluated on the evolved state.

Raises:

ValueError -- If initial_state is included in the evolution_problem.

Return type:

VarQTEResult