Strategic Alliance Agreement Will Explore Benchmarking Industrial Generative AI Techniques on Quantum Hardware.
BOSTON–(BUSINESS WIRE)–Zapata AI, a software company building solutions to enterprises’ most computationally complex problems, today announced it has entered a strategic alliance with IonQ (NYSE: IONQ), an industry leader in quantum computing hardware and commercial quantum application development. Building on years of previous work together, the teams will benchmark generative AI techniques on quantum hardware to uncover new potential advantages of quantum computing that could help solve complex real-world business problems.
This alliance expands previous quantum collaboration between IonQ and Zapata with a focus on generative AI. The partnership will bring Zapata’s application development experts and IonQ’s scientists, advanced compute technology, and services together to deliver on joint generative AI projects. Additionally, the partnership will also drive joint go-to-market activities to scale the delivery of IonQ’s advanced compute services with Zapata’s products for enterprise customers.
“IonQ’s commercial success is a reflection of the value that our customers attribute to our systems, yet the onramp into quantum computing can be challenging. Our partnership with Zapata will remove roadblocks and accelerate quantum adoption,” said Rima Alameddine, CRO at IonQ. “We are excited to continue our work with Zapata and are confident that this partnership will drive new breakthroughs in the development of generative AI models and help enterprise companies better solve industrial-scale problems.”
This strategic agreement builds upon a proven track record of the two companies working together successfully, including a first-of-its-kind project to generate high-quality, real-world data using quantum hardware, as well as a multi-year award for quantum benchmarking from the Defense Advanced Research Projects Agency (DARPA).
“We’re looking forward to building on our previous work together and diving deeper into quantum generative AI,” said Yudong Cao, CTO and co-founder at Zapata. “Quantum-enhanced generative modeling is the first place we expect to see a quantum advantage for industrial problems, including drug discovery, optimization, language processing, and predictive analytics. We’re excited to see what impact we could create with IonQ’s advanced technology.”
For more information about Zapata AI and its partnership with IonQ, please visit www.zapata.ai.
About Zapata AI
Zapata AI builds solutions to enterprises’ most computationally complex problems. It has pioneered proprietary methods in generative AI, machine learning, and quantum techniques that run on classical hardware (CPUs, GPUs) and quantum hardware. Zapata’s Orquestra® platform supports the development and deployment of better, faster, more cost-effective models—particularly for computationally intense solutions. Zapata was founded in 2017 and is headquartered in Boston, Massachusetts. For more information, visit www.zapata.ai.
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.
Michael Bowen and Ryan Gardella