def satoshiConditions(N):
s0STLM0 = 0
s1STLM0 = 0
s0STLM1 = 0
s1STLM1 = 0
for i in range(N):
if i % 100 == 0:
print(f'{i+1}/{N}')
theta = np.random.rand() * np.pi / 4
a0 = np.random.rand() * 2 * np.pi
a1 = np.random.rand() * 2 * np.pi
b0 = np.random.rand() * 2 * np.pi
b1 = np.random.rand() * 2 * np.pi
P = T.find_P(theta, a0, a1, b0, b1)
correct1, realisation, wholeSp = T.twoQubitRepresentation(P)
theta = realisation[0]
correct2 = St.STLM(P, theta)
if not correct1:
print("no 2-qubit realisation????")
if correct2 and wholeSp:
s1STLM1 += 1
elif correct2 and (not wholeSp):
s0STLM1 += 1
elif (not correct2) and wholeSp:
s1STLM0 += 1
elif (not correct2) and (not wholeSp):
s0STLM0 += 1
print(s0STLM0, s0STLM1, s1STLM0, s1STLM1)
def research(theta, a0, a1, b0, b1):
def maximum(S):
m = 0
for x in range(2):
for y in range(2):
if S[x][y] > m:
m = S[x][y]
return m
def getThetaFromSinSquared(s):
return np.arccos(np.sqrt(1 - s))
P = T.find_P(theta, a0, a1, b0, b1)
S_p, S_m = St.SPlusTemp(P)
print(S_p)
print(S_m)
flag = False
for x in range(2):
for y in range(2):
thetaNew = getThetaFromSinSquared(S_p[x][y])
Pnew = T.find_P(thetaNew, a0, a1, b0, b1)
stlm = St.STLM(Pnew, thetaNew)
print(stlm, "STLM")
Qs = St.satoshiTest(Pnew)
print(Qs, thetaNew)
if Qs:
flag = True
for x in range(2):
for y in range(2):
thetaNew = getThetaFromSinSquared(S_m[x][y])
Pnew = T.find_P(thetaNew, a0, a1, b0, b1)
stlm = St.STLM(Pnew, thetaNew)
print(stlm, "STLM")
Qs = St.satoshiTest(Pnew)
print(Qs, thetaNew)
if Qs:
flag = True
print("i co?", flag)
def testWagnerPoints(N):
for theta in np.linspace(0, np.pi / 4, N):
P = Pp.WagnerPoints(theta)
b = Pp.getWagnerB(theta)
_, a0, a1, b0, b1 = Pp.WagnerRealisation(theta)
wholeSp, theta = St.SPlusCondition(P)
stlm = St.STLM(P, theta)
if wholeSp and stlm:
Qs = 1
else:
Qs = 0
accuracy = 0.001
Qn = T.is_exposed(theta, a0, a1, b0, b1, accuracy, limit=1)
print(Qn, Qs)
def notUniquePointsInvestigating(N):
for i in range(N):
P = np.round(T.notUniquePoints(), 6)
correct, realisation, wholeSp = T.twoQubitRepresentationSpecial(P)
if correct:
print(P, "point")
theta, a0, a1, b0, b1 = realisation
# print(correct, theta, a0/np.pi, a1/np.pi, b0/np.pi, b1/np.pi, wholeSp, np.sin(theta)**2, "tu")
# print(P[0]/np.cos(theta), P[1]/np.cos(theta), P[2]/np.cos(theta), P[3]/np.cos(theta), "cosinusy prawdziwe")
print(St.STLM(P, theta), "stlm")
Ptlm = T.find_P(np.pi / 2, a0, a1, b0, b1)
print(T.find_P(theta, a0, a1, b0, b1), "Punkt zwrotny")
print(T.is_nonlocalPoint(P), "is nonlocal?")
print(T.TLM(Ptlm), "Tlm")
print(T.is_exposed(theta, a0, a1, b0, b1, 0.001), "exposed")
def notUniquePoint():
# P = [0.4445537842667646, 0.24544802147218514, 0.734354006208671, 0.734354006208671, 0.542908951128687, 0.542908951128687, 0.3966948365612542, 0.3966948365612542]
P5 = [0.024973, 0.058992, 0.5, 0.5, 0.07546, 0.07546, 0.092469, 0.092469]
P4 = [
0.25, 0.125, -0.262176, -0.0930301, -0.731555, -0.689269, -0.698783,
0.654382
]
P2 = [
0.5, 0.5, -np.sqrt(2 / 5), 0, -np.sqrt(5 / 2) / 2,
-np.sqrt(5 / 2) / 2 + 1 / np.sqrt(10), -np.sqrt(5 / 2) / 2,
np.sqrt(5 / 2) / 2 - 1 / np.sqrt(10)
]
P3 = [
1 / 4, 1 / 2, -np.sqrt(7 / 3) / 3, 1 / np.sqrt(21),
-37 / (12 * np.sqrt(21)), -37 / (12 * np.sqrt(21)) + 1 / 4 *
(np.sqrt(7 / 3) / 3 + 1 / np.sqrt(21)),
-np.sqrt(7 / 3) / 12 - 37 / (12 * np.sqrt(21)),
-np.sqrt(7 / 3) / 12 + 43 / (12 * np.sqrt(21))
]
b = np.random.rand()
a1 = np.random.rand()
a0 = np.random.rand()
b = 0.5
a0 = 0.25
a1 = 0.5
A0B0 = (a0 + a1 + a0 * b**2 - a1 * b**2) / (2 * b)
A0B1 = A0B0
A1B0 = A0B0 - b * (a0 - a1)
A1B1 = A0B0 - b * (a0 - a1)
P = [a0, a1, b, b, A0B0, A0B1, A1B0, A1B1]
# if A0B0 < 1:
print(P, "punkt")
correct, realisation, wholeSp = T.twoQubitRepresentation(P)
theta, a0, a1, b0, b1 = realisation
# print(correct, theta, a0/np.pi, a1/np.pi, b0/np.pi, b1/np.pi, wholeSp, np.sin(theta)**2, "tu")
# print(P[0]/np.cos(theta), P[1]/np.cos(theta), P[2]/np.cos(theta), P[3]/np.cos(theta), "cosinusy prawdziwe")
print(St.STLM(P, theta), "stlm")
Ptlm = T.find_P(np.pi / 2, a0, a1, b0, b1)
print(T.find_P(theta, a0, a1, b0, b1), "Punkt zwrotny")
print(T.TLM(Ptlm), "Tlm")
print(T.is_exposed(theta, a0, a1, b0, b1, 0.001), "exposed")
def tlmVSstlm(N):
for i in range(N):
if i % 100 == 0:
print(f'{i+1}/{N}')
a0 = np.random.rand() * 2 * np.pi
a1 = np.random.rand() * 2 * np.pi
b0 = np.random.rand() * 2 * np.pi
b1 = np.random.rand() * 2 * np.pi
theta = np.random.rand() * np.pi / 2
P1 = T.find_P(np.pi / 2, a0, a1, b0, b1)
P2 = T.find_P(theta, a0, a1, b0, b1)
tlm = T.TLM(P1)
stlm = St.STLM(P2, theta)
wholeSp, theta = St.SPlusCondition(P2)
# print(tlm, stlm)
if stlm and (not tlm):
print(tlm, stlm)
if stlm and (not tlm) and wholeSp:
print(tlm, stlm, wholeSp)
print("aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa")
def nonnegativitySingularity(N):
for i in range(1):
a0 = 0
a1 = np.random.rand() * 2 * np.pi
b0 = 0
b1 = np.random.rand() * 2 * np.pi
P = T.find_P(np.pi / 2, a0, a1, b0, b1)
# print(P)
tlm = T.TLM(P)
# Sp, Sm = St.SPlusTemp(P)
# print(Sp)
# print(Sm)
# theta = np.random.rand()*np.pi/2
# thetaB = np.arcsin(T.hypoTreshold(a0,a1,b0,b1))
# print(thetaB)
thetaGr = np.arcsin(T.hypoTresholdImproved(a0, a1, b0, b1))
print(thetaGr)
Theta = np.linspace(0, np.pi / 2, N)
for theta in Theta:
# print(theta)
# if i%100 == 0:
# print(i)
P = T.find_P(theta, a0, a1, b0, b1)
stlm = St.STLM(P, theta)
c1, thetan = St.SPlusCondition(P)
if theta >= thetaGr:
c2 = 1
else:
c2 = 0
# sat = St.satoshiTest(P)
# ex = T.is_exposed(theta,a0,a1,b0,b1, 0.001)
if c1 and (not stlm):
stlm2 = St.STLMComment(P, theta)
print(tlm, stlm, c1, c2)
def plotExposed(D):
acc = 1e-4
x0 = 0
x_end = np.pi / 2
y0 = 0
y_end = 1
Y = np.linspace(y0, y_end, D)
X = np.linspace(x0, x_end, D)
Map = np.zeros((D, D))
for y, CosA in enumerate(Y):
for x, theta in enumerate(X):
a0 = 0
b0 = 0
a1 = np.arccos(CosA)
b1 = -np.arccos(CosA) + 2 * np.pi
P = T.find_P(theta, a0, a1, b0, b1)
P2 = symmetricPoint2(theta, CosA)
# print(np.round(P-P2,7))
# exp1 = T.is_exposed(theta, a0, a1, b0, b1, acc)
exp2 = T.is_exposed_hypo(theta, a0, a1, b0, b1)
exp3 = St.satoshiTest(P)
nonloc = T.is_nonlocalPoint(P)
print(exp2)
stlm = St.STLM(P, theta)
Ptlm = T.find_P(np.pi / 2, a0, a1, b0, b1)
tlm = T.TLM(Ptlm)
print(stlm, tlm)
Map[x][D - y - 1] = exp2
plt.imshow(Map.T, extent=[x0, x_end, y0, y_end])
plt.colorbar()
plt.xlabel("theta")
plt.ylabel("cos(a)")
plt.savefig("symmetric.png")
plt.show()
def research2(theta, a0, a1, b0, b1):
def maximum(S):
m = 0
for x in range(2):
for y in range(2):
if S[x][y] > m:
m = S[x][y]
return m
def getThetaFromSinSquared(s):
return np.arccos(np.sqrt(1 - s))
def largerTheta(theta):
P = T.find_P(theta, a0, a1, b0, b1)
S_p, S_m = St.SPlusTemp(P)
# print(S_p)
# print(S_m)
thetaNew = getThetaFromSinSquared(maximum(S_p))
return thetaNew
print("Optimal theta start")
optTheta = optimalTheta(a0, a1, b0, b1)
print("Optimal theta end")
flag = False
while (theta < optTheta - acc) and (not flag):
Pnew = T.find_P(theta, a0, a1, b0, b1)
stlm = St.STLM(Pnew, theta)
Qs = St.satoshiTest(Pnew)
print(Qs, stlm, theta)
thetaNew = largerTheta(theta)
if Qs:
flag = True
if abs(thetaNew - theta) < acc:
flag = True
theta = thetaNew
print("Next")
def hypothesis(N):
def research(theta, a0, a1, b0, b1):
def maximum(S):
m = 0
for x in range(2):
for y in range(2):
if S[x][y] > m:
m = S[x][y]
return m
def getThetaFromSinSquared(s):
return np.arccos(np.sqrt(1 - s))
P = T.find_P(theta, a0, a1, b0, b1)
S_p, S_m = St.SPlusTemp(P)
print(S_p)
print(S_m)
flag = False
for x in range(2):
for y in range(2):
thetaNew = getThetaFromSinSquared(S_p[x][y])
Pnew = T.find_P(thetaNew, a0, a1, b0, b1)
stlm = St.STLM(Pnew, thetaNew)
print(stlm, "STLM")
Qs = St.satoshiTest(Pnew)
print(Qs, thetaNew)
if Qs:
flag = True
for x in range(2):
for y in range(2):
thetaNew = getThetaFromSinSquared(S_m[x][y])
Pnew = T.find_P(thetaNew, a0, a1, b0, b1)
stlm = St.STLM(Pnew, thetaNew)
print(stlm, "STLM")
Qs = St.satoshiTest(Pnew)
print(Qs, thetaNew)
if Qs:
flag = True
print("i co?", flag)
def research2(theta, a0, a1, b0, b1):
def maximum(S):
m = 0
for x in range(2):
for y in range(2):
if S[x][y] > m:
m = S[x][y]
return m
def getThetaFromSinSquared(s):
return np.arccos(np.sqrt(1 - s))
def largerTheta(theta):
P = T.find_P(theta, a0, a1, b0, b1)
S_p, S_m = St.SPlusTemp(P)
# print(S_p)
# print(S_m)
thetaNew = getThetaFromSinSquared(maximum(S_p))
return thetaNew
print("Optimal theta start")
optTheta = optimalTheta(a0, a1, b0, b1)
print("Optimal theta end")
flag = False
while (theta < optTheta - acc) and (not flag):
Pnew = T.find_P(theta, a0, a1, b0, b1)
stlm = St.STLM(Pnew, theta)
Qs = St.satoshiTest(Pnew)
print(Qs, stlm, theta)
thetaNew = largerTheta(theta)
if Qs:
flag = True
if abs(thetaNew - theta) < acc:
flag = True
theta = thetaNew
print("Next")
s0STLM0 = 0
s1STLM0 = 0
s0STLM1 = 0
s1STLM1 = 0
for i in range(N):
if i % 100 == 0:
print(f'{i+1}/{N}')
theta = np.random.rand() * np.pi / 4
a0 = np.random.rand() * 2 * np.pi
a1 = np.random.rand() * 2 * np.pi
b0 = np.random.rand() * 2 * np.pi
b1 = np.random.rand() * 2 * np.pi
P = T.find_P(theta, a0, a1, b0, b1)
correct1, realisation, wholeSp = T.twoQubitRepresentation(P)
theta = realisation[0]
correct2 = St.STLM(P, theta)
if not correct1:
print("no 2-qubit realisation????")
if correct2 and wholeSp:
s1STLM1 += 1
elif correct2 and (not wholeSp):
research2(theta, a0, a1, b0, b1)
s0STLM1 += 1
elif (not correct2) and wholeSp:
s1STLM0 += 1
elif (not correct2) and (not wholeSp):
s0STLM0 += 1