We show that quantum entanglement can be used as a substitute for comm
unication when the goal is to compute a function whose input data are
distributed among remote parties. Specifically, we show that, for a pa
rticular function among three parties (each of which possesses part of
the function's input), a prior quantum entanglement enables one of th
em to learn the value of the function with only two bits of communicat
ion occurring among the parties, whereas, without quantum entanglement
, three bits of communication are necessary. This result contrasts the
well-known fact that quantum entanglement cannot be used to simulate
communication among remote parties.