Reversibility is important in quantum computing. Quantum circuits must transform input to output in a "unitary" manner, which is reversible. If you consider the input to output as a linear transformation matrix (with complex values), then the complex conjugate of the matrix gives the "inverse function".
This is probably useless info, but reversibility in the classical sense is also interesting due to the energy bounds of computation. The Landauer limit (kTln2) [1] gives a lower bound of energy that must be dissipated to destroy one bit of information in a computation. A reversible calculation does not destroy bits.
