IonQ and GE Research demonstrate the high potential of quantum computing for risk aggregation

COLLEGE PARK, Maryland–(BUSINESS WIRE)–IonQ (NYSE: IONQ), an industry leader in quantum computing, today announced promising early results with its partner, GE Research, to explore the benefits of quantum computing for modeling multivariate distributions in risk management.

Leveraging a framework based on a quantum circuit machine on standardized historical indexes, IonQ and GE Research, the central innovation center of the General Electric Company (NYSE: GE), were able to efficiently train quantum circuits to learn the correlations between three and four indexes. The prediction derived from the quantum framework outperformed those of classical modeling approaches in some cases, confirming that quantum copulas can potentially lead to more intelligent data-driven analysis and decision-making in commercial applications. A blog post explaining the research methodology and findings in more detail is available here.

“Together with GE Research, IonQ is pushing the boundaries of what is currently possible with quantum computing,” said Peter Chapman, CEO and President of IonQ. “While classical techniques face inefficiencies when multiple variables need to be modeled with high precision, our joint effort has identified a novel training strategy that can optimize quantum computing outcomes even at the scale of systems. Tested on our industry-leading IonQ Aria system, we are excited to apply these new methodologies when tackling real-world scenarios that were once deemed too complex to solve.

While classical techniques for forming copulas using mathematical approximations are an excellent way to build multivariate risk models, they face limitations when scaling up. IonQ and GE Research have successfully trained quantum copula models with up to four variables on IonQ’s trapped ion systems using data from four representative stock indices with readily accessible and variable market environments.

By studying the historical dependency structure between the returns of the four indices over this period, the research group trained its model to understand the underlying dynamics. Additionally, the newly presented methodology includes optimization techniques that potentially allow models to adapt by mitigating local minima and vanishing gradient issues common in quantum machine learning practices. Such improvements demonstrate a promising way to perform faster and more accurate multivariate analysis, which GE researchers hope will lead to new and better ways to assess risk with key manufacturing processes such as product design, factory operations and supply chain management.

“As we have seen in the recent volatility in the global supply chain, the world needs more effective methods and tools to manage risk when conditions can be highly variable and interconnected with each other,” said David Vernooy, senior executive and head of digital technologies at GE. To research. “The first results we have obtained in the financial use case with IonQ show the high potential of quantum computing to better understand and reduce the risks associated with these types of highly variable scenarios.”

Today’s results follow IonQ’s recent announcement of the company’s new IonQ Forte quantum computing system. The system features new state-of-the-art optical technology that allows for increased accuracy and further enhances the performance of IonQ’s state-of-the-art system. Partnerships with companies like GE Research and Hyundai Motors illustrate the growing interest in our industry-leading systems and fuel the continued success seen in the first quarter of 2022.

About IonQ

IonQ, Inc. is a leader in quantum computing, with a proven track record in innovation and deployment. IonQ’s current-generation quantum computer, IonQ Forte, is the latest in a line of state-of-the-art systems, including IonQ Aria, an industry-leading 20-qubit algorithmic system. Along with record-breaking performance, IonQ has defined what it thinks is the best way forward to scale. IonQ is the only company whose quantum systems are available through the cloud on Amazon Braket, Microsoft Azure, and Google Cloud, as well as through direct API access. IonQ was founded in 2015 by Christopher Monroe and Jungsang Kim based on 25 years of pioneering research. To find out more, visit

IonQ Forward-Looking Statements

This press release contains certain forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Some of the forward-looking statements can be identified by the use of forward-looking terms. Statements that are not historical in nature, including the words “anticipate”, “expect”, “suggest”, “plan”, “believe”, “intend”, “estimate”, ” target”, “project”, “should”, “could”, “could”, “could”, “will”, “anticipate” and other similar expressions are intended to identify forward-looking statements. These statements include those related to IonQ’s ability to develop and advance its quantum computers and achieve scale; IonQ’s ability to optimize quantum computing outcomes even as systems evolve; the planned launch of IonQ Forte for access by select developers, partners and researchers in 2022 with broader customer access expected in 2023; the market opportunity and anticipated growth of IonQ; and the business benefits for customers of using quantum computing solutions. Forward-looking statements are predictions, projections and other statements about future events that are based on current expectations and assumptions and, therefore, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements contained in this press release, including, but not limited to: market adoption of quantum computing solutions and products, IonQ services and solutions; IonQ’s ability to protect its intellectual property; changes in the competitive industries in which IonQ operates; changes in laws and regulations affecting IonQ’s business; IonQ’s ability to implement its business plans, forecasts and other expectations, and to identify and realize additional partnerships and opportunities; and the risk of market and technology industry downturns, including, but not limited to, due to the COVID-19 pandemic. The foregoing list of factors is not exhaustive. You should carefully consider the foregoing factors and the other risks and uncertainties described in the “Risk Factors” section of IonQ’s Quarterly Report on Form 10-Q for the quarter ended March 31, 2022 and other IonQ filings of from time to time with the Security and Exchange Commission. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to place undue reliance on any forward-looking statements, and IonQ undertakes no obligation and does not intend to update or revise any such forward-looking statements, whether as a result of new information, future events or otherwise. IonQ does not guarantee that it will meet its expectations.

Sherry J. Basler