Yes, neural networks and quantum computing rely on carefully crafted questions to deliver accurate responses.
Google conned the public a few years back claiming it's quantum engine solved a question in seconds that would take a conventional supercomputer decades. But the bogus nature of the claim was hidden in the detail. The Google quantum computer was designed and optimised to answer that specific question, in fact that is all it could do, and they used the unoptimised worst case scenario model for the Supercomputer.
If similarly optimised the Supercomputer would take about 2hrs, but the supercomputer can also answer General Purpose computing questions, while the quantum computer could not.
At the moment and into the foreseeable future quantum computers are task specific, like Hino selling one truck to carry bricks, and another truck that carries timber.
Google conned the public a few years back claiming it's quantum engine solved a question in seconds that would take a conventional supercomputer decades. But the bogus nature of the claim was hidden in the detail. The Google quantum computer was designed and optimised to answer that specific question, in fact that is all it could do, and they used the unoptimised worst case scenario model for the Supercomputer.
If similarly optimised the Supercomputer would take about 2hrs, but the supercomputer can also answer General Purpose computing questions, while the quantum computer could not.
At the moment and into the foreseeable future quantum computers are task specific, like Hino selling one truck to carry bricks, and another truck that carries timber.
"Ruck, ruck, ruck, ruck ....... Ruck, ruck, ruck, ruck"