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Quantum Machine Learning Quantum Chemistry

2025 Quantum Diamond Workshop Findings Report

arXiv
Authors: Danielle A. Braje, Matthew L. Markham, Jennifer M. Schloss, Michael A. Slocum, Ronald L. Walsworth

Year

2025

Paper ID

17123

Status

Preprint

Abstract Read

~2 min

Abstract Words

143

Citations

N/A

Abstract

This report synthesizes the outcomes of a two-day workshop held in Washington, D.C. in May, 2025 that convened researchers, industry representatives, and government stakeholders to examine the current state and future directions of quantum diamond technologies. The workshop's goals were to assess the most promising use cases, to identify the key technical and structural challenges limiting adoption, and to chart potential pathways for aligning application needs with diamond material and device development. Through a series of technical presentations and open discussions, participants explored both near-term demonstrations and long-term infrastructure needs, highlighting the critical role of coordination between material suppliers, device engineers, and end users. The goal of this report is to distill those insights into a coherent set of cross-cutting themes, challenges, and strategic actions that can guide government, industry, and academic efforts to accelerate the maturation and commercialization of quantum diamond technologies.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2025 reference point for readers tracking recent quantum research.
  • This report synthesizes the outcomes of a two-day workshop held in Washington, D.C.

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