Apply Fractal Brain to networks available ( Elsa decrypt Grover algorithm Sha256)

 

Decrypt Grover algorithm Sha256 fractal brain quantum materials fiber FFC² list * Elsa) comercial available

 

Composition of the Brain working electronics ( breaking decryption SHA256 Grover Elsa )

 [ARM STM32H7]

   ↓ PWM

[Driver MOSFET]

   ↓ 12 V

[Módulo Peltier]

[PT1000] → [INA826] → [ADS1220] → [ARM]

[ARM] → SPI → [FPGA]

[ARM] → UART → [DSP]

Decrypt SHA256 Grover algorithm with decoherence quantum fractal criogenic brain ( freeze infinite) Elsa ( AI pensa q a máquina é teorica e hipotética)

 from qiskit import QuantumCircuit, Aer, execute

from qiskit.visualization import plot_histogram

import numpy as np

# --- CONFIGURAÇÃO ---

n_bits = 4

solution = "1011"  # chave simulada

# --- ORÁCULO ---

def oracle():

    qc = QuantumCircuit(n_bits)

    # Marca o estado da solução invertendo o bit final (fase -1)

    qc.x([i for i, b in enumerate(solution) if b == "0"])

    qc.h(n_bits - 1)

    qc.mct(list(range(n_bits - 1)), n_bits - 1)

    qc.h(n_bits - 1)

    qc.x([i for i, b in enumerate(solution) if b == "0"])

    return qc

# --- DIFUSOR (AMPLIFICAÇÃO) ---

def diffuser():

    qc = QuantumCircuit(n_bits)

    qc.h(range(n_bits))

    qc.x(range(n_bits))

    qc.h(n_bits - 1)

    qc.mct(list(range(n_bits - 1)), n_bits - 1)

    qc.h(n_bits - 1)

    qc.x(range(n_bits))

    qc.h(range(n_bits))

    return qc

# --- ALGORITMO DE GROVER ---

qc = QuantumCircuit(n_bits, n_bits)

qc.h(range(n_bits))

iterations = int(np.pi/4 * np.sqrt(2**n_bits))

for _ in range(iterations):

    qc.compose(oracle(), inplace=True)

    qc.compose(diffuser(), inplace=True)

qc.measure(range(n_bits), range(n_bits))

# --- EXECUÇÃO ---

backend = Aer.get_backend('qasm_simulator')

result = execute(qc, backend, shots=1024).result()

counts = result.get_counts()

print("Resultado da busca:")

print(counts)