ZAPATA COMPUTING HOLDINGS INC. Zapata Computing Holdings Inc. announced that it has published and will present to the Defense Advanced Research Projects Agency select research findings alongside its collaborators Rigetti Computing, University of Southern California, HRL Laboratories and L3Harris ? from its participation in Phase II of DARPA?s Quantum Benchmarking program. Publication of these results represent a critical milestone in DARPA?s initiative to quantitatively measure the economic value of specific, transformational quantum computing use cases and the associated hardware-specific resources required for a given level of performance.
As the only company participating across all program tracks, the results serve as a testament to Zapata AI?s continued leadership in quantum computing. In collaboration with its partners, Zapata AI has been focused on 1) developing use cases for quantum computing and estimating their utility1, and 2) developing software tools to predict the capabilities of and to develop future quantum computers2. During Phase II of the program, the Company and its partners at L3Harris and the University of Toronto estimated the economic utility of several high-value applications, representing millions or billions in potential value, and the quantum resources required to unlock that value.
Applications include: Homogenous catalyst design. The research represents the new resource estimation for nitrogen fixation in ammonia production, widely used in agricultural fertilizer. Incompressible computational fluid dynamics for applications such as simulation-driven ship design.
The paper represents the first ever resource estimation for this particular use case. Correlated material simulation for applications such as superconductor and battery design. Throughout the remainder of Phase II, which is expected to conclude in March 2025, Zapata AI and its partners will continue to optimize the quantum algorithms studied for the various applications and improve the utility estimates to understand the value proposition of future quantum computers.
