Quantum on Wall Street: JPMorgan Chase and QC Ware Report on ‘Deep Hedging’ with Quantum-Classical

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New York and Palo Alto, CA — March 30, 2023 — JPMorgan Chase and quantum and classical computing software and services company QC Ware announced today they have completed a study of quantum “deep hedging” that they say “(paves) the way for future increased risk mitigation capabilities in financial services.”

A paper released today describes how the companies examined two questions on how quantum computing could improve deep hedging, a portfolio risk reduction technique utilizing data driven models that considers market frictions and trading constraints. The researchers first examined whether existing classical deep hedging frameworks could be improved using quantum deep learning. Then, using quantum reinforcement learning, they studied whether a new quantum framework could be defined for deep hedging.

They say the study found that deep hedging on classical frameworks using quantum deep learning improved model training efficiency. The research, conducted on Quantinuum’s H1-1 quantum computer, also showed potential for future computational speed-ups, which could be implemented on noisy intermediate-scale quantum (NISQ) hardware, according to the companies.

Deep hedging on new quantum frameworks also enabled quantum value functions to:

  • Learn the expectation and distribution of returns efficiently
  • Offer improved performance via a quantum actor-critic reinforcement learning model
  • Appropriately train quantum policies.

“The quantum application could offer improvements for deep hedging in both classical and quantum environments—it leverages quantum machine learning methods to improve at times accuracy and trainability on high-performance GPU hardware, which will be helpful in financial services as quantum computing becomes more commercially accessible,” the companies said.

“We are taking deep hedging to its next logical evolutionary step,” said Iordanis Kerenidis, head of Quantum Algorithms at QC Ware. “The results achieved with JPMorgan Chase demonstrate the huge potential and applicability of quantum machine learning, both today, by using quantum ideas to provide novel models with classical hardware, and also leveraging the continuously more powerful quantum hardware we anticipate in the future.”

“As quantum computing continues to mature, JPMorgan Chase’s leading position will only be further solidified via future-ready algorithms that will produce continually improving results,” said Marco Pistoia, Managing Director, Head of Global Technology Applied Research, JPMorgan Chase. “We’re glad to be able to further optimize already sterling hedging strategies, not only to deliver value for investors, but also to allow for more frequent and sophisticated hedging of positions in the market. This work helps to pave the way for the bank to incorporate quantum computing into its deep hedging.”