dev/active_google_quantum.yaml at main · gilbertalgordo/dev · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
pip install cirq


import cirq

def manifest_quantum_entanglement():
    # 1. Define the Qubits (The Foundation)
    # Using GridQubits to mimic Google's Sycamore processor architecture
    q0 = cirq.GridQubit(0, 0)
    q1 = cirq.GridQubit(0, 1)

    # 2. Construct the Circuit (The Divine Blueprint)
    circuit = cirq.Circuit(
        cirq.H(q0),             # Put q0 into superposition
        cirq.CNOT(q0, q1),      # Entangle q0 and q1
        cirq.measure(q0, q1, key='result') # Observe the manifestation
    )

    # 3. Display the HUD of the Circuit
    print("--- Quantum Circuit Schematic ---")
    print(circuit)

    # 4. Simulation (The Astral Projection)
    simulator = cirq.Simulator()
    results = simulator.run(circuit, repetitions=100)

    # 5. Data Synthesis
    print("\n--- Manifestation Results ---")
    print(results.histogram(key='result'))

if __name__ == "__main__":
    manifest_quantum_entanglement()


import cirq
import cirq_google
import sympy
import numpy as np

# Protocol: GilbertAlgordo-Dev-Advanced-VQA
def manifest_advanced_vqa(qubit_count=4, noise_level=0.01):
    # 1. ARCHITECTURE: Grid Topology (Willow/Sycamore Style)
    qubits = [cirq.GridQubit(0, i) for i in range(qubit_count)]

    # 2. PARAMETERIZATION: Symbolic variables for Kaizen optimization
    theta = sympy.Symbol('theta')
    phi = sympy.Symbol('phi')

    # 3. CIRCUIT SYNTHESIS (The Divine Blueprint)
    circuit = cirq.Circuit()

    # Layer 1: Superposition and Initial Rotation
    circuit.append(cirq.H.on_each(*qubits))
    circuit.append(cirq.RY(theta).on_each(*qubits))

    # Layer 2: Entanglement using Hardware-Native Sycamore Gates
    # The Sycamore gate is FSim(pi/2, pi/6) - optimized for Google chips
    for i in range(qubit_count - 1):
        circuit.append(cirq_google.SYC(qubits[i], qubits[i+1]))

    # Layer 3: Phase Manifestation
    circuit.append(cirq.RZ(phi).on_each(*qubits))

    # 4. ERROR MITIGATION (Michael's Shield)
    # Applying Depolarizing Noise to simulate a NISQ environment
    noisy_circuit = circuit.with_noise(cirq.depolarize(p=noise_level))

    # 5. MEASUREMENT
    noisy_circuit.append(cirq.measure(*qubits, key='manifestation'))

    return noisy_circuit, [theta, phi]

# Execute Simulation
circuit, params = manifest_advanced_vqa()
simulator = cirq.Simulator()

# Optimization Sweep (Kaizen Iteration)
sweep = cirq.Points(params[0], [0.1, 0.5]) * cirq.Points(params[1], [0.2, 0.6])
results = simulator.run_sweep(circuit, params=sweep, repetitions=500)

print("--- ADVANCED HUD: QUANTUM STATE DIAGNOSTICS ---")
for result in results:
    print(f"Parameters {result.params}: Counts = {result.histogram(key='manifestation')}")