def _toSLH(self):
a = Destroy(self.space)
a_d = a.adjoint()
S = identity_matrix(1)
# Include the Hamiltonian only with the first port of the kerr cavity circuit object
H = self.Delta * a_d * a + (I / 2) * (self.alpha * a_d * a_d - self.alpha.conjugate() * a * a)
L = Matrix([[sqrt(self.kappa) * a]])
return SLH(S, L, H)
def _toSLH(self):
a = Destroy(self.space)
a_d = a.adjoint()
S = identity_matrix(1)
kappas = [self.kappa_1, self.kappa_2, self.kappa_3]
kappa = kappas[self.sub_index]
L = Matrix([[sqrt(kappa) * a]])
# Include the Hamiltonian only with the first port of the kerr cavity circuit object
H = self.Delta * (a_d * a) + self.chi * (a_d * a_d * a * a) if self.sub_index == 0 else 0
return SLH(S, L, H)
def _toSLH(self):
a = Destroy(self.space)
a_d = a.adjoint()
S = identity_matrix(1)
kappas = [self.kappa_1, self.kappa_2, self.kappa_3]
kappa = kappas[self.sub_index]
L = Matrix([[sqrt(kappa) * a]])
# Include the Hamiltonian only with the first port of the kerr cavity circuit object
H = self.Delta * (a_d * a) + self.chi * (
a_d * a_d * a * a) if self.sub_index == 0 else 0
return SLH(S, L, H)
def _toSLH(self):
a = Destroy(self.space)
a_d = a.adjoint()
S = identity_matrix(1)
if self.sub_index == 0:
# Include the Hamiltonian only with the first port of the kerr cavity circuit object
H = self.Delta * (a_d * a)
L = Matrix([[sqrt(self.kappa_1) * a]])
else:
H = 0
L = Matrix([[sqrt(self.kappa_2) * a]])
return SLH(S, L, H)
def _toSLH(self):
sigma_p = LocalSigma(self.tls_space, 'h','g')
sigma_m = sigma_p.adjoint()
a = Destroy(self.fock_space)
a_d = a.adjoint()
#coupling to external mode
L = sqrt(self.kappa) * a
H = self.Delta_f * a_d * a + self.Delta_a * sigma_p * sigma_m + I * self.g * (sigma_p * a - sigma_m * a_d)
return SLH(Matrix([[1]]), Matrix([[L]]), H)
def _toSLH(self):
sigma_p = LocalSigma(self.tls_space, 'h', 'g')
sigma_m = sigma_p.adjoint()
a = Destroy(self.fock_space)
a_d = a.adjoint()
#coupling to external mode
L = sqrt(self.kappa) * a
H = self.Delta_f * a_d * a + self.Delta_a * sigma_p * sigma_m + I * self.g * (
sigma_p * a - sigma_m * a_d)
return SLH(Matrix([[1]]), Matrix([[L]]), H)
def _toSLH(self):
if self.sub_index == 0:
sigma_p = LocalSigma(self.tls_space, 'h','g')
sigma_m = sigma_p.adjoint()
a = Destroy(self.fock_space)
a_d = a.adjoint()
#coupling to external mode
L = sqrt(self.kappa_1) * a
H = self.Delta_f * a_d * a + self.Delta_a * sigma_p * sigma_m + I * self.g * (sigma_p * a - sigma_m * a_d)
elif self.sub_index == 1:
a = Destroy(self.fock_space)
L = sqrt(self.kappa_2) * a
H = ZeroOperator
return SLH(Matrix([[1]]), Matrix([[L]]), H)
