message: Update Python example
  IBMQ sample array length must be a multiple of 16
diff: @@ -43,7 +43,12 @@ optimizer = xacc.getOptimizer("quantum-control", {
  # which, in this case, only contains a single 'sigma' param.
  finalFidelityError, paramValues = optimizer.optimize()
  dt = 0.2222222222222222
  -nbSamples = (int)(600.0/dt)
  +
  +# Note: IBMQ requires the sample array length to be a multiple of 16.
  +def get_closest_multiple_of_16(num):
  + return int(num + 8 ) - (int(num + 8 ) % 16)
  +nbSamples = get_closest_multiple_of_16((int)(600.0/dt))
  +
  # Construct the pulse from optimal params:
  goatPulse = np.zeros(nbSamples)
  for i in range(nbSamples):
  @@ -66,6 +71,7 @@ qpu = xacc.getAccelerator("ibm:ibmq_armonk")
  buffer = xacc.qalloc(1)
  qpu.execute(buffer, program)
  +# We should get a 50-50 distribution.
  print(buffer)
  