SCOTT BUCHHOLZ
Quantum computers running QML algorithms are currently able to train to higher accuracy with less data than their comparable classical counterparts . While the scale of problems that can be solved today with QML algorithms , the scale is increasing and the range of applicable problems is growing . In the near term , QML-based systems may be suitable for problems where high predictive accuracy is critical and time to solution is not as important .
Quantum computers appear to be incredibly well-suited to running Generative Adversarial Networks ,
SCOTT BUCHHOLZ
TITLE : CTO , GLOBAL QUANTUM COMPUTING LEADER
COMPANY : DELOITTE LOCATION : UNITED STATES
Scott Buchholz is the CTO and Quantum Leader at Deloitte , driving innovation through emerging technologies like quantum computing , AI / ML , and cloudnative development . An expert in enterprise and solution architecture , he spearheads business-led tech transformations , IT modernisation and data-driven strategies .
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