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gregdunn | 6 years ago

Disclaimer: I work at AWS, but this post isn't being made in any sort of official capacity, I have no relation to the team in question (this is the first I've even heard of the service), and the opinions here are entirely my own and not necessarily a reflection of that of my employer.

> I wonder what kind of future this spells for quantum computing - will it continue to spread or will it be limited/stunted by being controlled by only the few?

I feel like this is a step in the right direction, though. Right now using quantum computers is totally outside of the realm of possibility for the vast majority of people - they're simply too expensive in materials cost, expertise to create, conditions for operation, etc. etc. etc. - without services like this one. The only chance an "everyday" person has to try out a quantum computer is to rent time on someone's else's.

I don't think at a similar point in the life of classical computers we had options like this that were readily available - you could rent time on the computers, but I can't imagine that getting access to them was as easy as it will be today with the internet being a thing and service providers offering high granularity on billing.

My understanding (and I'm not even remotely an expert, so I could be totally off base here!) is that it's an open question on whether or not quantum computing will ever even be doable in environments where classical computing works - it might not be within the realm of what physics allows for it ever to be possible to have a quantum computer powered smartphone.

I hope access is ubiquitous someday for people, but in general I feel like this is a good step while that's not practical.

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buboard|6 years ago

> an "everyday" person has to try out a quantum computer

what would an everyday person do on a qc?

core-questions|6 years ago

Well, practical QC seems to be involved with optimization problems. D-Wave recently demonstrated doing something with bus routing for Volkswagen. I could imagine, say, a map service scaling that out by integrating QC into their route-finding for drivers to cooperatively improve traffic flow by finding optimal solutions to problems of a scale that is intractable with classical systems.

The everyday person will use QC like they "use" machine learning today: from a very high level abstract viewpoint, where services they consume have a little bit of intelligence that makes interacting with them more efficient.