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import os
import qiskit
from qiskit import QuantumCircuit, Aer, execute
from qiskit.visualization import plot_histogram
from qiskit.ignis.verification.tomography import state_tomography_circuits, StateTomographyFitter
class AdvancedAIAPI:
def init(self):
self.kali_path = "/path/to/kali/linux"
def install_kali_linux(self):
os.system(f"sudo apt-get install kali-linux -y")
print("Kali Linux installed successfully.")
def run_kali_tools(self, tool_name):
os.chdir(self.kali_path)
os.system(f"./{tool_name}")
print(f"{tool_name} tool executed successfully.")
def run_qiskit_example(self):
# Create a Quantum Circuit with 2 qubits and 2 classical bits
qc = QuantumCircuit(2, 2)
# Apply Hadamard gate to the first qubit
qc.h(0)
# Apply CNOT gate with the first qubit as the control and the second qubit as the target
qc.cx(0, 1)
# Measure the qubits into the classical bits
qc.measure([0, 1], [0, 1])
# Simulate the circuit
backend = Aer.get_backend('qasm_simulator')
result = execute(qc, backend, shots=1024).result()
counts = result.get_counts(qc)
# Print the counts
print(counts)
# Plot the histogram
plot_histogram(counts)
def run_qiskit_quantum_program(self, quantum_program):
# Execute the quantum program
backend = Aer.get_backend('qasm_simulator')
result = execute(quantum_program, backend, shots=1024).result()
counts = result.get_counts(quantum_program)
# Print the counts
print(counts)
# Plot the histogram
plot_histogram(counts)
def run_quantum_state_tomography(self, quantum_program):
# Perform quantum state tomography
qst_circuits = state_tomography_circuits(quantum_program, [0, 1])
qst_job = execute(qst_circuits, Aer.get_backend('qasm_simulator'), shots=1024)
qst_results = qst_job.result()
qst_fitter = StateTomographyFitter(qst_results, qst_circuits)
qst_data = qst_fitter.fit()
# Print the tomography data
print(qst_data)
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import os
import qiskit
from qiskit import QuantumCircuit, Aer, execute
from qiskit.visualization import plot_histogram
from qiskit.ignis.verification.tomography import state_tomography_circuits, StateTomographyFitter
class AdvancedAIAPI:
def init(self):
self.kali_path = "/path/to/kali/linux"
Create an instance of the AdvancedAIAPI
ai_api = AdvancedAIAPI()
Install Kali Linux
ai_api.install_kali_linux()
Run Kali Linux tools
ai_api.run_kali_tools("nmap")
ai_api.run_kali_tools("metasploit")
Run Qiskit example
ai_api.run_qiskit_example()
Run Qiskit quantum program
Define your quantum program
qc = QuantumCircuit(2, 2)
qc.h(0)
qc.cx(0, 1)
qc.measure([0, 1], [0, 1])
Run the quantum program
ai_api.run_qiskit_quantum_program(qc)
Run quantum state tomography
ai_api.run_quantum_state_tomography(qc)
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