IonQ Demonstrates World-First Quantum Cognition Models

• Research demonstrates nonclassical models of human decision-making can run successfully on quantum computers as circuits.

• The recent achievement serves as a potential precursor to future mathematization of human psychology.

 

COLLEGE PARK, Md.--(BUSINESS WIRE)-- IonQ (NYSE: IONQ), an industry leader in quantum computing, today announced results from its early research into applying quantum computers for modeling human cognition. The recently published paper describes the world’s first publicly known method in which basic human cognition models have been run on quantum hardware, paving the way to the potential development of improved decision making models that imitate human thought.

Conducted in collaboration with an international team of quantum researchers, the research paper represents a starting point for developing quantum circuits that implement mathematical models of cognition, encoding mental states in qubit registers and cognitive operations using different gates and measurements. Since the 1960s, cognitive psychologists have sought to understand the correlation between the ways questions are posed and how a participant would respond. The concept of quantum probability effectively describes some of these relationships, however it wasn’t until recently that quantum hardware reached the point where quantum probability models could be investigated and tested.

IonQ’s research demonstrates how quantum circuits can represent basic human cognition between two related concepts, categorizing how the closeness of one proposition can influence another more than it would have had they been isolated. In the future, more complex circuits can potentially lead to better decision making models which can be used to anticipate results of elections, unravel unconscious biases, or produce increasingly tailored ads. A blog post further explaining the research methodology and results is available here.

“The potential impact of quantum computers capable of emulating human decision-making processes cannot be overstated, as such a future comes closer to reality” said Peter Chapman, CEO and President of IonQ. “This breakthrough holds immense potential for fields like generative AI, empowering the creation of sophisticated and nuanced artificial intelligence systems capable of generating highly realistic and creative outputs. With quantum computing's unparalleled computational power, today’s research lays the crucial groundwork for developing an intricate network of correlations that will fuel the pursuit of future innovations.”

Today’s research further demonstrates IonQ’s position as a global leader and innovator in the field of quantum computing. Whether it’s using quantum hardware to model human cognition, or developing quantum networks, IonQ continues to build upon its reputation as a world-class quantum computing company, touting the most powerful commercially available quantum system in the market and signing partnerships with commercial and government organizations, including Airbus, GE, Dow Chemistry, Hyundai Motors, and the United States Air Force Research Laboratory.

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, boasting an industry-leading 29 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 Dr. Christopher Monroe and Dr. 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 the ability to run human cognition models on quantum hardware; the use of human cognition models to improve decision making models that imitate human thought; the potential for more complex circuits to lead to better decision making models in a variety of fields; and the impact of quantum computers’ ability to emulate human decision-making processes. 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 and/or increased inflationary pressures. 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 September 30, 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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Source: IonQ