IonQ to Present Research On Quantum Cognition Models & A New Efficient Quantum Encoding Method for Data from Gaussian Distributions at Q2B Paris 2023

• IonQ to lead a session on the first implementation of known quantum cognition models on physical quantum hardware, as well as a session on a new quantum encoding procedure for data from Gaussian distributions. This new and efficient method can be generalized to high dimensional data from smooth and differentiable probability distributions common to many Monte Carlo sampling methods.

COLLEGE PARK, Md.--(BUSINESS WIRE)-- IonQ (NYSE: IONQ), an industry leader in quantum computing, today announced its participation at Q2B Paris. The multi-day event will take place in Paris, France on May 3-4, 2023. Onsite attendees can visit IonQ’s booth (G7) to discuss our latest progress toward commercializing quantum computing.

At the event, Dominic Widdows, Senior Staff Scientist at IonQ, will give a presentation on May 3, titled “Quantum Cognition: From Inception to First Quantum Implementation.” This session will cover the first implementations of these models as quantum circuits, run on physical quantum hardware – raising new questions and opportunities in AI, as well as psychology and quantum computing.

In addition, Nicole Barberis, Director - GTM Sales Engineering at IonQ, will also present on May 4, discussing a recent collaboration between IonQ and the Fidelity Center for Applied Technology (FCAT). The session, titled “Quantum Data Loading on IonQ Quantum Computers,” will showcase a new method for quantum data encoding that facilitates speedups in quantum Monte Carlo sampling methods, which have many interesting potential use cases in the finance industry. This new quantum data encoding procedure is efficient and accurate and an important step in quantum state preparation for many other quantum algorithms.

The presentation continues IonQ’s collaboration with FCAT on generative quantum machine learning algorithms and their potential ability to outperform classical computers.

The conference follows on the heels of IonQ’s recent letter to shareholders outlining its head start towards quantum advantage, (short) road to quantum advantage, and use of existing technology to scale.

About IonQ

IonQ, Inc. is a leader in quantum computing, with a proven track record of innovation and deployment. IonQ Aria is the latest in a line of cutting-edge commercial quantum systems, boasting industry-leading 25 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 implementation of quantum cognition models; the ability of quantum cognition models to run on physical quantum hardware; the opportunities of quantum cognition models to apply to artificial intelligence (AI), psychology and quantum computing; the application of quantum data encoding to facilitate speedups in quantum Monte Carlo applications; the potential use cases in the finance industry of quantum Monte Carlo applications; the efficiency and accuracy of quantum data encoding; the importance of quantum data encoding as a step in quantum state preparation; and the applicability of the quantum data encoding procedure in other quantum algorithms. 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. 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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IonQ Media contact:

Tyler Ogoshi

press@ionq.com

IonQ Investor Contact:

investors@ionq.com

Source: IonQ, Inc.