Where Will Quantum Systems Succeed in AI Training?
Quantum computers will continue to fit in the “emerging technologies” category for some time, at least in terms of their ability to handle a large enough number of real-world applications. …
Quantum computers will continue to fit in the “emerging technologies” category for some time, at least in terms of their ability to handle a large enough number of real-world applications. …
Toward the end of 2019, a flurry of announcements by some of the most prominent IT companies suggests that collaborations will become increasingly important in the quantum computing space as the players jockey for position in the nascent market. …
There are two trends converging in AI inference and so far, only a small number of companies are enmeshed. …
In fact, a more salacious title might have said it will not be threat in most of our career spans, if in our lifetimes at all. …
Quantum computing is often portrayed as a way to solve esoteric problems that can’t be attempted with conventional computers. …
With a timeline to early production sometime in the next decade (if not longer), the business model for quantum computing has been nebulous from the beginning. …
IBM, Google, and D-Wave tend to garner the headlines about quantum computing, but aside from a brief hubbub around the Tangle Lake quantum chip announcement earlier this year, insight into Intel’s quantum strategy tends to lag. …
There are only so many quantum hardware architectures available but as that number grows, the need to understand which processor is best for specific quantum algorithms will be more pressing. …
As we argued a few weeks ago, the cloud is where quantum competition gets real. …
The refrigerators are on order and the lists of scientific applications are formed for another new quantum architecture to enter the quantum hardware space. …
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