def amplitudTransicionKet(ket1, ket2):
bra = cM.adjMatrix(ket2)
amplitud = cM.productMatrix(bra, ket1)[0][0]
norma1 = cM.normaVec(ket1)
norma2 = cM.normaVec(ket2)
ans = compl.division(amplitud, compl.producto((norma1, 0), (norma2, 0)))
return ans
def normalizarVector(vector):
vectorNormalizado, v = [], []
norma = cM.normaVec(vector)
for i in range(len(vector)):
v += [compl.producto((1 / norma, 0), vector[i][0])]
vectorNormalizado += [v]
return vectorNormalizado
def meanValue(probabilidad, valoresPropios):
mean, ans = [], (0, 0)
for i in range(len(probabilidad)):
mean += [compl.producto(probabilidad[i], valoresPropios[i])]
for j in range(len(mean)):
ans = compl.suma(mean[i], ans)
return ans
def accionMatrixVector(a, v):
if verificacionMult(a, v):
ans, res = [], (0, 0)
for i in range(len(a)):
for j in range(len(a[0])):
res = comp.suma(comp.producto(a[i][j], v[j]), res)
ans = ans + [res]
res = (0, 0)
else:
ans = "Indefinido"
return ans
def productMatrix(a, b):
if verificacionMult(a, b):
ans = [[(0, 0) for j in range(len(a[0]))] for i in range(len(a))]
for i in range(len(a)):
for j in range(len(b[0])):
for k in range(len(b)):
ans[i][j] = comp.suma(comp.producto(a[i][k], b[k][j]),
ans[i][j])
else:
ans = "Indefinido"
return ans
def escalarMultMatrix(escalar, a):
return [[comp.producto(escalar, a[i][j]) for j in range(len(a[0]))]
for i in range(len(a))]
def inverMatrix(a):
escalar = (-1, 0)
ans = [[comp.producto(escalar, a[i][j]) for j in range(len(a[0]))]
for i in range(len(a))]
return ans
def escalarMultVect(escalar, a):
ans = []
for i in range(len(a)):
ans = ans + [comp.producto(escalar, a[i])]
return ans
def inverVect(a):
ans = []
for i in range(len(a)):
escalar = (-1, 0)
ans = ans + [comp.producto(escalar, a[i])]
return ans
