i have been trying use qutip solve quantum mechanics matrix differential equation (a lindblad equation). here code: from qutip import * matplotlib import * import numpy np hamiltonian = np.array([[215, -104.1, 5.1, -4.3 ,4.7,-15.1 ,-7.8 ], [-104.1, 220.0, 32.6 ,7.1, 5.4, 8.3, 0.8], [ 5.1, 32.6, 0.0, -46.8, 1.0 , -8.1, 5.1], [-4.3, 7.1, -46.8, 125.0, -70.7, -14.7, -61.5], [ 4.7, 5.4, 1.0, -70.7, 450.0, 89.7, -2.5], [-15.1, 8.3, -8.1, -14.7, 89.7, 330.0, 32.7], [-7.8, 0.8, 5.1, -61.5, -2.5, 32.7, 280.0]]) h=qobj(hamiltonian) ground=qobj(np.array([[ 0.0863685 ], [ 0.17141713], [-0.91780802], [-0.33999268], [-0.04835763], [-0.01859027], [-0.05006013]])) rho0 = ground*ground.dag() scipy.constants import * ktuple=physical_constants['boltzmann constant in ev/k'] k = ktuple[0]* 8065.6 htuple = physical_constants['planck constant in ev s'] hbar = (htuple[0]* 8065.6)/(2*pi) gamma=(2*pi)*((k*300)/hbar)*(35/(150*hbar)) l1 = qobj(...