---
title: "Zapata Quantum partners with NVIDIA to automate quantum resource estimation using agentic AI"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/290544318.md"
description: "Zapata Quantum has partnered with NVIDIA to automate quantum resource estimation using agentic AI. The collaboration focuses on quantum chemistry applications like drug discovery and materials science, aiming to reduce the time and cost of evaluating quantum algorithms. By leveraging NVIDIA's Agent Toolkit, the partnership seeks to transform lengthy expert workflows into scalable automated systems, initially tested in homogeneous catalysis."
datetime: "2026-06-23T10:01:39.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/290544318.md)
  - [en](https://longbridge.com/en/news/290544318.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/290544318.md)
generator: "portal-rs"
---

# Zapata Quantum partners with NVIDIA to automate quantum resource estimation using agentic AI

-   Zapata Quantum entered a collaboration with NVIDIA to apply agentic AI to automate quantum resource estimation for quantum algorithm development. \* Initial focus is quantum chemistry, targeting faster benchmarking for applications such as drug discovery, energy, advanced materials. \* Partnership aims to cut years-long expert workflows into a scalable automated system, lowering time and cost to evaluate quantum algorithms. \* Work uses NVIDIA Agent Toolkit for orchestration guardrails, paired with verified workflows and an AI model to predict hardware needs upfront. \* Approach has been tested in homogeneous catalysis, building on Zapata’s prior DARPA Quantum Benchmarking program work. Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Zapata Quantum Inc. published the original content used to generate this news brief via GlobeNewswire (Ref. ID: 202606230600PRIMZONEFULLFEED9750646) on June 23, 2026, and is solely responsible for the information contained therein. © Copyright 2026 - Public Technologies (PUBT)

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> **Disclaimer: This article is for reference only and does not constitute any investment advice.**