yawn Maybe d-wave should put up or shut up. QC companies and bro-advocates have been saying this for years and there's been very little use outside of pure r&d labs.
I don't believe that QC is going to have the ease of use, time to deployment, and relative low-cost that GPUs are going to have any time soon - if ever.
QC could have all of those things and it would still not be a threat. Using a quantum computer for general computation is like using a front-end loader to go grocery shopping: it's a spectacular improvement for the task it's designed for, and utterly useless for the vast majority of other tasks.
Intel used to say, "For every GPU sold there's an Intel CPU sold." At least in the PC gaming days, when that was Nvidia's core biz and Intel had no real response (frankly, that apathetic retort could explain a lot about Intel's struggles). Now, Nvidia is taking a similar approach -- for every QPU sold there are n GPUs sold. And, they will be right for the next 5 years or so because hybrid workflows, where classical are integral to the workload and quantum is specialized, are the common case. But, if QPU roadmaps are true, GPU/CPU supercomputers will be losing ground to QPU supercomputers. At which point, Nvidia probably acquires a QPU company. And QPU companies merge with other GPU/CPU companies. Disruption will force a change in the supercomputing business. Nvidia may or may not be a winner. We shall see.
....do quantum computers and GPUs have a lot of overlap in the types of tasks they compute ? I was under the impression they solve quite different problems
Here is Microsoft one,
https://learn.microsoft.com/en-us/azure/quantum/qdk-main-ove...