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There are so many algorithms that are mathematically proven that a quantum computer can produce results that would take a super computer a long time to produce. Unfortunately, most of today’s computers may not be able to use algorithms or they can only run simple algorithms that older computers could handle. This has left the field facing a difficult question: Can we demonstrate the promise of quantum computing in modern, noise-free environments?
That is a more difficult question than it might first appear. If you create results that are not accessible with today’s computers, it is impossible to guarantee that you will get the correct results. And since today’s computers are inherently flawed, getting wrong results is possible. Furthermore, in the absence of mathematical proof of the potential of quantum hardware, it is possible that better algorithms may surpass quantum hardware.
These stories inspired IBM to launch a quantum advantage tracker. On Thursday, the company announced three new innovations that it says show more opportunities, each using a different approach to eliminate errors and ensure quantitative results. “Reliable computing when you’re running old experiments isn’t useful,” IBM’s Jay Gambetta told Ars. “Reliable computing when you can’t do past simulations is very difficult.”
