From 4434d18135b64892958da5bd8abfde330b1c5774 Mon Sep 17 00:00:00 2001
From: "deepsource-autofix[bot]"
 <62050782+deepsource-autofix[bot]@users.noreply.github.com>
Date: Fri, 10 May 2024 14:33:42 +0000
Subject: [PATCH] style: format code with Autopep8, Black, ClangFormat,
 dotnet-format, Go fmt, Gofumpt, Google Java Format, isort, Ktlint, PHP CS
 Fixer, Prettier, RuboCop, Ruff Formatter, Rustfmt, Scalafmt, StandardJS,
 StandardRB, swift-format and Yapf

This commit fixes the style issues introduced in 0f6e0b6 according to the output
from Autopep8, Black, ClangFormat, dotnet-format, Go fmt, Gofumpt, Google Java
Format, isort, Ktlint, PHP CS Fixer, Prettier, RuboCop, Ruff Formatter, Rustfmt,
Scalafmt, StandardJS, StandardRB, swift-format and Yapf.

Details: None
---
 quantum_module/quantum_simulation.py | 15 ++++++++++-----
 1 file changed, 10 insertions(+), 5 deletions(-)

diff --git a/quantum_module/quantum_simulation.py b/quantum_module/quantum_simulation.py
index 36a5cc522..dfc6f3614 100644
--- a/quantum_module/quantum_simulation.py
+++ b/quantum_module/quantum_simulation.py
@@ -4,6 +4,8 @@
 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)
@@ -13,25 +15,28 @@ def simulate_financial_scenario(initial_investment, interest_rate, 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 *= 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)
+final_investment = simulate_financial_scenario(
+    initial_investment, interest_rate, time_steps
+)
 print("Final investment:", final_investment)