Good point, I didn't think about retrieving the answer. Is that something can be done with gates or is there another method? My (simplistic) understanding is t

Good point, I didn't think about retrieving the answer. Is that something can be done with gates or is there another method? My (simplistic) understanding is this: you need to think of the "registers" in a qc as not storing one value but essentially a probability distribution, so your operations are really convolutions of those distributions. "reading" from the register is a measurement, which collapses the wavefunction into a set of states which happen to share the value for the attribute you are measuring. The outcome of the measurement is random but governed by the probability distribution that the system has for that attribute at that point. You need to make the desired answer stand out in that distribution (i.e. more likely to come up), otherwise you won't have gained anything vs a classical computer. Seems like you might be right in the short term, but I wonder if it will be true in the long term. I'm having a hard time understanding this stuff at the micro level, whereas assembly language of a classical computer is trivial in comparison. I made the FPGA and concurrency analogy because you have to account for global state, not just the state of registers touched by one instruction. Except the "global state" in a qc is a different beast entirely. I guess I don't have a clue what these abstractions might look like so I'm going to accept that you may well be right.