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COLLEGE PARK, Md.--(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 multi-variable distributions in risk management.

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, were 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 IonQs 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.

Todays results follow IonQs recent announcement of the companys new IonQ Forte quantum computing system. The system features novel, cutting-edge optics technology that enables increased accuracy and further enhances IonQs 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 http://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 IonQs ability to further develop and advance its quantum computers and achieve scale; IonQs 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; IonQs 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 IonQs 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 IonQs business; IonQs 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 IonQs 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.

Originally posted here:
IonQ and GE Research Demonstrate High Potential of Quantum Computing for Risk Aggregation - Business Wire

In labs across the world, scientists are developing the power of quantum mechanics, a field of physics that behaves unlike anything we experience in our everyday lives. In 2019, Google announced that its quantum computer had achieved quantum supremacy, which could allow new kinds of computers to perform calculations at what were once unimaginable speeds. Other companies and research labs are exploring techniques like quantum teleportation, which sends data between locations without moving the matter that holds it a concept that Albert Einstein had deemed impossible.

The seemingly impossible, though, is what Cade Metzs reporting hinges on. As a Times correspondent who covers emerging technologies, he has written about quantum teleportation; cars that drive themselves; immersive digital worlds; and artistry in artificial intelligence. If a technology is futuristic or disruptive, Mr. Metz most likely knows about it.

In an interview, Mr. Metz talked about advances in technology and the challenges in translating complicated subjects for everyday readers. This interview has been edited.

What is your background in technology reporting?

Before coming to The Times, I was with Wired, where I was trying to identify technologies that were coming out of research labs and changing in ways that were likely to have an impact on our daily lives.

I was an English major in college, and I always wanted to be a writer and a reporter, but my father was an engineer. Ive always been interested in writing about engineers and researchers who I feel like, even within technology coverage, can get short shrift meaning, when people write stories and books about the tech industry, they write about entrepreneurs; they write about the heads of companies. They dont necessarily write about the people actually building the stuff. Like anybody else, theyre fascinating people in their own right, so thats what Ive always gravitated to.

How do you write about such complicated subjects for the average reader?

You have to make an effort to show people that this type of thing is still in the future. Just by writing about it, you give the impression that its imminent, and that can be a danger. Its the same thing when I cover artificial intelligence; just using that term implies things. When we hear those words, it brings up certain images decades of science fiction movies and science fiction novels.

When you write about quantum computing, in particular, you have to use analogy. This is behavior that we dont experience in our everyday lives, and that makes it fascinating. The quantum supremacy story got a lot of attention; it sort of captures the imagination. But it is very hard to find that sweet spot where youre properly representing the technology and doing so in a way that people can grasp it.

I think the key challenge is not to give people the wrong impression, and not making this seem closer than it is. Particularly with this type of technology, you want to be judicious.

When did quantum teleportation become something you wanted to report on?

Ive written about other types of quantum technology. The trick is figuring out the right time to write about it again. You look for certain milestones that indicate progress will continue. The quantum supremacy movement is definitely one of those. I had targeted that for years. Quantum supremacy moments show that you can do something with a quantum machine that you couldnt do with a traditional machine.

What is most useful, and I think this is true of all sorts of technologies, is talking to a lot of people about each particular aspect..

These are academics, government researchers. There are people all over the world. You talk to these researchers here, in the Netherlands. Theres a lot of work in China. I spent time talking to a lot of people in all those places.

What excites you most about the beat?

When you get to write not only about the technology but also about the people building it and what it means for them. Those are the stories Im most satisfied with. Thats ultimately what I wanted to do, dating back to watching my father and his career realizing the significance of intersections of the technology with the people.

Read the rest here:
Reporting on the Future, Now - The New York Times