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A $1 billion educational services holding company that operates in the U.S., Australia and New Zealand needed to transform its finance operations.
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We’re getting close to practical advantage with quantum computing when running optimization algorithms. Companies interested in being leaders in their industry should already be considering how to harness this promised power with use cases that solve their business problems. But some companies want a better solution that’s advantageous today, even if it’s only quantum-inspired.
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We’re getting close to practical advantage with quantum computing when running optimization algorithms. Companies interested in being leaders in their industry should already be considering how to harness this promised power with use cases that solve their business problems. But some companies want a better solution that’s advantageous today, even if it’s only quantum-inspired.
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A global health services company needed to execute on its corporate promise to deliver affordability and convenience to its patients. However, the company discovered that there was a disconnect between that promise and intended delivery.
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Squeezing every bit of performance out of a NISQ-era quantum processor is usually handled in the software stack. But what if you could actually design QPUs for specific types of use cases? Anastasia Marchenkova is working on this approach at Bleximo and the result has been a remarkable boost to speed.
