  We study numerically how a sound signal stored in a quantum computer can be
recognized and restored with a minimal number of measurements in presence of
random quantum gate errors. A method developed uses elements of MP3 sound
compression and allows to recover human speech and sound of complex quantum
wavefunctions.
