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Create quantum_simulation.py
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KOSASIH authored May 10, 2024

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# Import necessary libraries
import numpy as np
from qiskit import QuantumCircuit, execute
from qiskit.providers.aer import AerSimulator

# Define a function to simulate a complex financial scenario using quantum computing
def simulate_financial_scenario(initial_investment, interest_rate, time_steps):
# Create a quantum circuit to simulate the financial scenario
qc = QuantumCircuit(1)
qc.h(0)
qc.barrier()
for i in range(time_steps):
qc.rx(np.arcsin(interest_rate), 0)
qc.barrier()
qc.measure_all()

# Execute the circuit on a simulator
simulator = AerSimulator()
job = execute(qc, simulator, shots=1000)
result = job.result()
counts = result.get_counts(qc)

# Extract the final investment from the counts
final_investment = initial_investment * (1 + interest_rate) ** time_steps
for i in range(time_steps):
final_investment *= (1 + interest_rate)
final_investment = final_investment / 1000
final_investment = sum(counts[x] * final_investment for x in counts)

return final_investment

# Example usage
initial_investment = 1000
interest_rate = 0.05
time_steps = 10
final_investment = simulate_financial_scenario(initial_investment, interest_rate, time_steps)
print("Final investment:", final_investment)

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