Resistion, I agree with your comment. A lab setting is one thing, but to scale up, it would imply that the system would have to spend large amonunt of resources to limit other sources of influence (NOISE). So from the start this new computing method is doomed. It is tough enough to control electrical domain, now add to the mix magnetic, radiation sources, gavity (?), etc...
"One challenge facing scientists is that the spins of electrons, or any other quantum particles, are incredibly delicate. Any outside influences, whether a wisp of magnetism or glimpse of light, destabilizes the electrons' spins and introduces errors."
Shielding from noise sources is going to be a toughie.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.