FCAT and IonQ Explore Machine Learning With Quantum Computing
September 15, 2021
This PoC showcases how quantum computing can be used to generate high-quality synthetic data, and thus help in backtesting financial models.
Introducing Sherlock: A New Tool to Analyze Digital Assets
April 30, 2021
Digital assets continue to display tremendous growth, as investment banks, private equity groups, financial advisors and commercial banks grow more comfortable considering crypto as a potential investment opportunity and eventually a more widely accepted medium of exchange.
Solving Problems Differently with Quantum Computing
March 31, 2021
There has been a lot of news about how quantum computers will change computing as we know it. That said, a general-purpose quantum computer that will have the capability of replacing the classical computers we use every day may perpetually be out of reach. At Fidelity, we do not need to wait for a general-purpose quantum computer. There are a few specific types of problems that quantum computers will likely be able to tackle in the near term and optimization problems just so happen to be one of those types of problems. FCAT is positioning Fidelity to be able to leverage this new technology the moment it becomes viable by exploring the optimization algorithms and implementations that have the most potential to deliver value to Fidelity and our customers.
Exploring Quantum Computing with Amazon Web Services
August 13, 2020
This Quantum-to-Quantum PoC showcases the ability to optimize the use of different quantum technologies, and also features a hardware-agnostic approach which enables Fidelity to easily switch to new quantum systems as they become available.