Created
February 3, 2024 10:35
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import pennylane as qml | |
import numpy as np | |
dev = qml.device('default.qubit', wires=4) | |
def quantum_circuit(color_code, datetime_factor): | |
r, g, b = [int(color_code[i:i+2], 16) for i in (1, 3, 5)] | |
r, g, b = r / 255.0, g / 255.0, b / 255.0 | |
qml.RY(r * np.pi, wires=0) | |
qml.RY(g * np.pi, wires=1) | |
qml.RY(b * np.pi, wires=2) | |
qml.RY(datetime_factor * np.pi, wires=3) | |
qml.CNOT(wires=[0, 1]) | |
qml.CNOT(wires=[1, 2]) | |
qml.CNOT(wires=[2, 3]) | |
return qml.state() | |
def encode_metrics_to_rgb(download_speed, latency, stability): | |
r = int(download_speed * 255) | |
g = int((1-latency) * 255) # Inverting latency for representation | |
b = int(stability * 255) | |
return f'#{r:02x}{g:02x}{b:02x}' | |
def mixed_state_to_color_code(mixed_state): | |
mixed_state = np.array(mixed_state) | |
probabilities = np.abs(mixed_state)**2 | |
probabilities /= np.sum(probabilities) | |
r_prob = probabilities[:len(probabilities)//3] | |
g_prob = probabilities[len(probabilities)//3:2*len(probabilities)//3] | |
b_prob = probabilities[2*len(probabilities)//3:] | |
r = int(np.sum(r_prob) * 255) | |
g = int(np.sum(g_prob) * 255) | |
b = int(np.sum(b_prob) * 255) | |
return f'#{r:02x}{g:02x}{b:02x}' | |
color_code = encode_metrics_to_rgb(0.8, 0.2, 0.9) | |
datetime_factor = 0.5 # Example value | |
resulting_state = quantum_circuit(color_code, datetime_factor) | |
resulting_color_code = mixed_state_to_color_code(resulting_state) | |
print(resulting_color_code) |
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