Hello and sorry if the question is too layman's here. I haven't found an answer when googling.
I am a programmer with some video encoding background, so I know how much energy is "wasted" on encoding. Especially with the 2020's situation when a lot of people are working from home, being on video calls all the time, world's encoding has dramatically increased.
There's the new H.265 encoder, which does quite a lot of optimizations, but many of them need to search through a lot of possibilities on how to describe objects moving in a scene - direction, light changes, color changes, size changes, ...
Intuitively, this seems like an ideal application of quantum computing, which, as far as I have read, is good for parallel searching for optimal solution of rather non-discrete problems.
Is that a correct assumption? Is there any progress in that direction? Or is it still too early to apply the current state of the art to such problems?