Jennifer Prendki explains that while universal quantum computers are a decade away, specialized quantum accelerators are already tackling AI problems in finance and pharma. She argues the biggest hurdle isn’t the hardware but the profound software and infrastructure gap, as fundamental principles like the “no-cloning theorem” break traditional MLOps.
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Detailed show notes - with links to many references - can be found on The Data Exchange web site.
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