To be somewhat more specific, clearly there are still many open questions in quantum mechanics as a science, so -- How does that map to the current technology? -- Which of those open problems presents imminent bottleneck to current adoption? -- What from the science will present the next breakthrough?
Any reading recommendations are appreciated!
Quantum computing is in a dark yet interesting hole.
Technologically a substantial line of intrigue, yet little immediate practical benefit.
One fascinating development is regarding feasibility of “hard problems”. Many proposed milestones of what quantum computation may solve have been revealed (even by high school amateurs) as room for re-evaluating age old algorithmic conjectures. These in which classical systems are just as effective if we re-evaluate how we look at the problem.
The actual technology of perturbing and perceiving the quantum dynamic is where most of our modern gain may be appreciated (on a physics level rather than one of comp-sci.)
I personally believe the qubit is a dead end. There is more information in the quantum domain than spin duality. There is an analog amplitude which has yet to be cracked. Quantum holography for instance may reveal this true potential in time (decades from now). The quantum domain may be treated as a sieve such that hard problems like hash collisions may be deduced as though spacial distributions of hyper dimensional snowflakes [mental imagery]. In this sieve information may be pushed into and pulled from a scope of singularity such that problems may be solve non-linearly (more like chemical reactions than branch conditions.) this will require more re-evaluation of how we see the problem (which is good for us, assuming we don’t let AI solve everything for us.)
By these considerations, for the time being, there isn’t much to do outside of the realm of physics.