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New IonQ/FCAT paper shows how quantum machine learning algorithms have exponential advantage over classical counterparts in financial analysis

New IonQ/FCAT paper shows how quantum machine learning algorithms have exponential advantage over classical counterparts in financial analysis

New paper describes how quantum machine learning algorithms have IonQ, a specialist in quantum computing, has released a new paper in collaboration with Fidelity Center for Applied Technology (FCAT) demonstrating how its quantum computers can outperform classical computers to generate high-quality data for use in testing financial models. 

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Market participants identify key operational areas for improvement post-pandemic in new DTCC white paper

Market participants identify key operational areas for improvement post-pandemic in new DTCC white paper

The Depository Trust & Clearing Corporation (DTCC), the premier market infrastructure for the global financial services industry, has published a white paper examining how capital markets operations responded during the Covid-19 pandemic and where market participants are focused in a post-pandemic future.