JPMorgan Chase Completes Quantum “Deep Hedging” Study, May Increase Risk Mitigation Capabilities in Financial Services

QC Ware and JPMorgan Chase (NYSE:JPM) have completed a study of quantum “deep hedging,” paving the way “for future increased risk mitigation capabilities in financial services.”

In a new paper released on March 30th, 2023, JPMorgan Chase and QC Ware examined two questions “on how the practice of deep hedging—reducing risk for a portfolio utilizing data driven models that consider market frictions and trading constraints—might be improved with quantum computing.”

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.”

The study found “that deep hedging on classical frameworks using quantum deep learning enabled models to be trained more efficiently.”

The research, “conducted on Quantinuum’s H1-1 quantum computer, also demonstrated the potential for future computational speed-ups, which could be implemented on noisy intermediate-scale quantum (NISQ) hardware.”

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

  • Efficiently learn the expectation and distribution of returns
  • 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.”

Iordanis Kerenidis, head of Quantum Algorithms at QC Ware, said:

“We are taking deep hedging to its next logical evolutionary step. 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.”

Marco Pistoia, Managing Director, Head of Global Technology Applied Research, JPMorgan Chase, said:

“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. 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.”

As noted in the update, QC Ware is “a quantum and classical computing software and services company focused on ensuring enterprises are prepared for the emerging quantum computing disruption.”

With specialization in machine learning and chemistry simulation applications, QC Ware develops “for near-term quantum computing hardware as well as state-of-the-art classical machines with a team composed of some of the industry’s foremost experts in quantum and classical computing.”

QC Ware is “headquartered in Palo Alto, California, and supports its European customers through its subsidiary in Paris and customers in Asia through its business development office in Tokyo, Japan.”

QC Ware also “organizes Q2B, the largest annual gathering of the international quantum computing community.”


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