def alter_hadamard(hada,seed):
(n,n)=hada.shape
theta = uniform(0.0,math.pi*2.0)
#pick a rotation any rotation
phaser=randint(0,3)
if phaser ==0:
gate=qt.phasegate(theta)
elif phaser == 1:
gate=qt.rz(theta)
elif phaser==2:
gate = qt.ry(theta)
else:
gate=qt.globalphase(theta)
#alter gate
if seed == 0:
u1=gate
else:
u1=id2
i=1
while u1.shape != (n,n):
if i ==seed: #set a alteration on specified qubit
u1=qt.tensor(u1,gate)
u1=tensor_fix(u1)
else:
u1=qt.tensor(u1,id2)
u1=tensor_fix(u1)
i+=1
final_gate=u1*hada
return final_gate
def rando(orig):
(n, n) = orig.shape
theta = uniform(0.0, math.pi * 2.0)
#pick a rotation any rotation
phaser = randint(0, 3)
if phaser == 0:
gate = qt.phasegate(theta)
elif phaser == 1:
gate = qt.rz(theta)
elif phaser == 2:
gate = qt.ry(theta)
else:
gate = qt.globalphase(theta)
(m, m) = gate.shape
cc = 0
while n != m and cc < 10:
pick = randint(0, 1)
if not pick:
gate = qt.tensor(gate, id2)
gate = tensor_fix(gate)
else:
gate = tensor_fix(qt.tensor(id2, gate))
(m, m) = gate.shape
cc += 1
gate = gate * orig
return gate
def multi_qubit_hadamard(regular_hadamard_gate):
theta = uniform(0.0,math.pi*2.0)
(n,n) = regular_hadamard_gate.shape
N = np.int(((np.log(n))/(np.log(2))))
phase=qt.globalphase(theta,N)
phase=tensor_fix(phase)
reg=tensor_fix(regular_hadamard_gate)
multi_qubit_hadamard = phase*reg
multi_qubit_hadamard = tensor_fix(multi_qubit_hadamard)
return multi_qubit_hadamard
