input: Write a python function to minimize a quadratic function using scipy.optimize.minimize.
  assert optimize_quadratic([3, -2]) == [0, 0]
  assert optimize_quadratic([1, 1]) == [0, 0]
  assert optimize_quadratic([-2, 2]) == [0, 0]
output: from scipy.optimize import minimize
  
  def optimize_quadratic(coeffs):
      # Define the quadratic function
      def quadratic(x):
          return coeffs[0] * x[0]**2 + coeffs[1] * x[1]**2
  
      # Initial guess
      x0 = [0, 0]
  
      # Minimize the quadratic function
      result = minimize(quadratic, x0)
  
      return result.x.tolist()