What would change if we had scalable quantum computers

Quantum evaluation would be 1 and 2. That machine is at a top level just f(design) = predicted expected reward weighted by variance. So the system would need to guess many designs, evaluate them in simulation, then robots would fabricate the best candidates.

Quantum computing is in no way necessary, just existing methods could only explore a few promising regions of the vast space of possible designs. All solutions would be local minima. (And the obvious thing you do is have a generative neural network predict a design a human mechanical or electrical engineer might pick to solve a similar problem)

The reason a system like this would scale to superhuman performance is scale - it could have tried millions of real designs given enough robots and trillions of simulated possibilities.

As for robot assembly - that’s solved with a very similar solver. Instead of guess a candidate design, check on simulation, try best candidate, update simulation and solver system that chooses initial guesses, you guess ways to move the robot arm that will result in progress towards assembly.

I’m interested too. All I could find so far is websites that are selling the program, so not sure how valid they are.

I did find this. The argument isn’t that you can guess where the ball will end up, but you can predict the general area. So you bet on that 1/2 to 1/4 of the board, greatly improving your odds of beating the house.