As I understand the concept of entanglement, the selection of a possible common historical base within the computation could eliminate a very large amount of thereby discovered and thus unnecessary computational involvement.
Terry, an excellent elaboration but it's still very difficult to understand how entanglment could be used in the real world to process data at a faster rate. How can customization of functions dynamically be faster than having dedicated hardware lying in wait for data to be processed?
I agree. The timing and execution will have to be expertly executed. This technology reminds me of the cancer treatment that works on DNA structure, but is not able (at this time) to be administered to patients. I hope scientists and technology professionals will continue to work on both types of tech to find solutions that deliver significant results (and cures).
I was reminded of fuzzy logic when I read this article. Is there any family history connecting the chaosgates and fuzzy logic? I also remembered using and "programing" analog computers while in college, it was really fun back then with all the patchcords. I am wondering now the control for the gates works in this device, what drives it to change and what maintains its "state"?
This reminds me of the line by Jane Goodall that follows:
"There isn't a sharp line dividing humans from the rest of the animal kingdom. It's a very wuzzie line, and it's getting wuzzier all the time"
So how is "wuzzie" different from "fuzzy"?
Drones are, in essence, flying autonomous vehicles. Pros and cons surrounding drones today might well foreshadow the debate over the development of self-driving cars. In the context of a strongly regulated aviation industry, "self-flying" drones pose a fresh challenge. How safe is it to fly drones in different environments? Should drones be required for visual line of sight – as are piloted airplanes? Join EE Times' Junko Yoshida as she moderates a panel of drone experts.