JP Morgan is testing quantum deep hedging

Researchers say the timeline has shortened for the use of models in production.

Quantum computing could nearly double the effectiveness of machine learning-based hedging strategies, according to researchers at JP Morgan.

The US bank worked with quantum software company QC Ware to complete a study of quantum deep hedging detailed in a new paper, Quantum Deep Hedging, released March 30.

“Now we actually have a solution that gives us confidence that in the future this work will be usable in production,” says Marco Pistoia, head of global technology applied research at JP

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