Zapata AI Research in Quantum-Enhanced Generative AI Published in Nature Communications - AITechTrend

Zapata AI Research in Quantum-Enhanced Generative AI Published in Nature Communications

The paper demonstrates how quantum and classical techniques for generative AI can work synergistically to deliver advantages not possible with either approach in isolation.

December 20, 2023 11:25 AM Eastern Standard Time

BOSTON–(BUSINESS WIRE)–Zapata Computing, Inc. (“Zapata AI”), the Industrial Generative AI company, today announced that its research in quantum-enhanced Generative AI has been published in the prestigious Nature Communications journal. The article, titled “Synergistic pretraining of parametrized quantum circuits via tensor networks,” demonstrates how quantum circuits can extend and complement the capabilities of classical generative AI.

“In our Nature Communications article, we showcase how tensor networks, traditionally used in classical algorithms, form a critical bridge to quantum algorithms, offering a unique synergy”Post this

The research was published online on December 15th and can be accessed here.

“We are extremely proud of the talented researchers who contributed to this groundbreaking work,” said Christopher Savoie, CEO and co-founder of Zapata AI. “Quantum techniques can bring tremendous advantages to enterprise generative AI applications, and this research shows how we can make the most of the resources we have today to realize those advantages. It is no longer a question of quantum vs. classical, but rather how the two can be used synergistically together to get better results, faster. We are looking forward to applying this research in our work with enterprise customers.”

The work builds on Zapata AI’s growing portfolio of quantum techniques for generative AI. These quantum techniques offer several advantages for enterprise problems, including compressing large, computationally expensive models; speeding up time-consuming and costly calculations; and more diverse, higher quality outputs for generative AI. More details on how quantum science can enhance generative AI can be found in a recent Zapata AI blog post.

“Our work combines the complementary strengths of quantum and classical computers to reach better results than either type of hardware on its own,” said Jacob Miller, Quantum Research Scientist at Zapata AI. “People often think that quantum and classical technologies are in competition with each other, but we show that classical methods can actually help overcome a major limitation in the optimization of quantum devices. We hope our “synergistic” approach can start to unlock the true potential of present-day quantum technologies for solving intractable computational problems.”

“In our Nature Communications article, we showcase how tensor networks, traditionally used in classical algorithms, form a critical bridge to quantum algorithms, offering a unique synergy,” said Jing Chen, a Senior Quantum Scientist at Zapata AI who authored the paper along with Manuel Rudolph, Jacob Miller, Daniel Motlagh, Atithi Acharya, and Alejandro Perdomo-Ortiz. “This integration not only enhances both fields but also notably alleviates the challenges of barren plateaus in quantum computing. Our approach fosters collaboration, leveraging the strengths of classical and quantum methods to address complex problems more effectively.”

About Zapata AI:

Zapata AI is the Industrial Generative AI company, revolutionizing how enterprises solve their hardest problems with its powerful suite of Generative AI software. By combining numerical and text-based solutions, Zapata AI empowers industrial-scale commercial, government and military/defense enterprises to leverage large language models and numerical generative models better, faster, and more efficiently—delivering solutions to drive growth, savings and unprecedented insight. With proprietary science and engineering techniques and the Orquestra® platform, Zapata AI is accelerating Generative AI’s impact in Industry. The Company was founded in 2017 and is headquartered in Boston, Massachusetts. On September 6, 2023, Zapata AI entered into a definitive business combination agreement with Andretti Acquisition Corp. (NYSE: WNNR), the consummation of which, subject to customary closing conditions, will result in Zapata AI becoming a publicly listed company on the New York Stock Exchange. To learn more, visit: https://www.zapata.ai

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If any of these risks materialize or if assumptions prove incorrect, actual results could differ materially from the results implied by these forward-looking statements. There may be additional risks that Andretti Acquisition Corp. or Zapata AI presently do not know or that Andretti Acquisition Corp. or Zapata currently believe are immaterial that could also cause actual results to differ from those contained in the forward-looking statements. In addition, forward-looking statements provide Andretti Acquisition Corp.’s or Zapata AI’s expectations, plans, or forecasts of future events and views as of the date of this communication. Andretti Acquisition Corp. or Zapata AI anticipate that subsequent events and developments will cause their assessments to change. However, while Andretti Acquisition Corp. or Zapata AI may elect to update these forward-looking statements at some point in the future, Andretti Acquisition Corp. or Zapata AI specifically disclaim any obligation to do so. These forward-looking statements should not be relied upon as representing Andretti Acquisition Corp.’s or Zapata AI’s assessments as of any date subsequent to the date of this communication. Accordingly, undue reliance should not be placed upon the forward-looking statements.

Contacts

Zapata AI
Media: press@zapata.ai
Investors: investors@zapata.ai

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