IonQ and GE Research Demonstrate High Potential of Quantum Computing for Risk Aggregation
June 23 2022 - 8:00AM
Business Wire
Early results lay the foundation for developing
new solutions to manage risk exposure. Takeaways include:
- IonQ and GE are able to use a large set of data to model
predictability associated with future risk across up to four
variables using their quantum computers.
- This research can benefit finance, manufacturing, and supply
chain management.
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
multi-variable distributions in risk management.
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Leveraging a Quantum Circuit Born Machine-based framework on
standardized, historical indexes, IonQ and GE Research, the central
innovation hub for the General Electric Company (NYSE: GE), were
able to effectively train quantum circuits to learn correlations
among 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 smarter data-driven analysis and
decision-making across commercial applications. A blog post further
explaining the research methodology and results is available
here.
“Together with GE Research, IonQ is pushing the boundaries of
what is currently possible to achieve with quantum computing,” said
Peter Chapman, CEO and President, IonQ. “While classical techniques
face inefficiencies when multiple variables have to be modeled
together with high precision, our joint effort has identified a new
training strategy that may optimize quantum computing results even
as systems scale. Tested on our industry-leading IonQ Aria system,
we’re excited to apply these new methodologies when tackling real
world scenarios that were once deemed too complex to solve.”
While classical techniques to form copulas using mathematical
approximations are a great way to build multi-variate risk models,
they face limitations when scaling. IonQ and GE Research
successfully trained quantum copula models with up to four
variables on IonQ’s trapped ion systems by using data from four
representative stock indexes with easily accessible and variating
market environments.
By studying the historical dependence structure among the
returns of the four indexes during this timeframe, the research
group trained its model to understand the underlying dynamics.
Additionally, the newly presented methodology includes optimization
techniques that potentially allow models to scale by mitigating
local minima and vanishing gradient problems common in quantum
machine learning practices. Such improvements demonstrate a
promising way to perform multi-variable analysis faster and more
accurately, which GE researchers hope lead to new and better ways
to assess risk with major manufacturing processes such as product
design, factory operations, and supply chain management.
“As we have seen from recent global supply chain volatility, the
world needs more effective methods and tools to manage risks where
conditions can be so highly variable and interconnected to one
another,” said David Vernooy, a Senior Executive and Digital
Technologies Leader at GE Research. “The early results we achieved
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 novel, cutting-edge optics technology that enables
increased accuracy and further enhances IonQ’s industry leading
system performance. Partnerships with the likes of GE Research and
Hyundai Motors illustrate the growing interest in our
industry-leading systems and feeds into the continued success seen
in Q1 2022.
About IonQ
IonQ, Inc. is a leader in quantum computing, with a proven track
record of innovation and deployment. IonQ's current generation
quantum computer, IonQ Forte, is the latest in a line of
cutting-edge systems, including IonQ Aria, a system that boasts
industry-leading 20 algorithmic qubits. Along with record
performance, IonQ has defined what it believes is the best path
forward to scale. IonQ is the only company with its quantum systems
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 learn more, visit
www.ionq.com.
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 words. Statements that are not
historical in nature, including the words “anticipate,” “expect,”
“suggests,” “plan,” “believe,” “intend,” “estimates,” “targets,”
“projects,” “should,” “could,” “would,” “may,” “will,” “forecast”
and other similar expressions are intended to identify
forward-looking statements. These statements include those related
to IonQ’s ability to further develop and advance its quantum
computers and achieve scale; IonQ’s ability to optimize quantum
computing results even as systems scale; the expected launch of
IonQ Forte for access by select developers, partners, and
researchers in 2022 with broader customer access expected in 2023;
IonQ’s market opportunity and anticipated growth; and the
commercial benefits to 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, as a result, are subject to risks
and uncertainties. Many factors could cause actual future events to
differ materially from the forward-looking statements in this press
release, including but not limited to: market adoption of quantum
computing solutions and IonQ’s products, services and solutions;
the ability of IonQ 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
identify and realize additional partnerships and opportunities; and
the risk of downturns in the market and the technology industry
including, but not limited to, as a result of 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 documents filed by IonQ from time to time with the
Securities 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 put
undue reliance on forward-looking statements, and IonQ assumes no
obligation and does not intend to update or revise these
forward-looking statements, whether as a result of new information,
future events, or otherwise. IonQ does not give any assurance that
it will achieve its expectations.
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version on businesswire.com: https://www.businesswire.com/news/home/20220623005345/en/
IonQ Media contact: Dillon Olagaray press@ionq.com
IonQ Investor Contact: investors@ionq.com
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