VarQRTE¶

class 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: qiskit.algorithms.time_evolvers.variational.var_qte.VarQTE, qiskit.algorithms.time_evolvers.real_time_evolver.RealTimeEvolver

Variational Quantum Real Time Evolution algorithm.

Parameters

ansatz – Ansatz to be used for variational time evolution.
initial_parameters – Initial parameter values for an ansatz.
variational_principle – Variational Principle to be used. Defaults to RealMcLachlanPrinciple.
estimator – An estimator primitive used for calculating expectation values of TimeEvolutionProblem.aux_operators.
ode_solver – ODE solver callable that implements a SciPy OdeSolver interface or a string indicating a valid method offered by SciPy.
lse_solver – 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 – 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 – Allowed value of an imaginary part that can be neglected if no imaginary part is expected.
num_instability_tol – 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

Apply Variational Quantum Time Evolution to the given operator.