The convergent laboratory: when AI reasoning, autonomous experiments, high performance and quantum computing reshape chemistry

@misc{huerta2026convergent,
  title = {{The convergent laboratory: when AI reasoning, autonomous experiments, high performance and quantum computing reshape chemistry}},
  author = {Eliu Huerta and Xiaoyun Wang and Geetika Gupta and Edward H. Sargent and Cameron J. Owen and Victor Fung and Abhishek Mitra and Austin Cheng and Emma Bouchard and Shams Mehdi},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.05643},
  eprint = {2609.05643},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.05643},
}

TY  - UNPB
TI  - The convergent laboratory: when AI reasoning, autonomous experiments, high performance and quantum computing reshape chemistry
AU  - Eliu Huerta
AU  - Xiaoyun Wang
AU  - Geetika Gupta
AU  - Edward H. Sargent
AU  - Cameron J. Owen
AU  - Victor Fung
AU  - Abhishek Mitra
AU  - Austin Cheng
AU  - Emma Bouchard
AU  - Shams Mehdi
PY  - 2026
DA  - 2026/09/04
PB  - arXiv
DO  - 10.48550/arxiv.2609.05643
UR  - https://arxiv.org/abs/2609.05643
AB  - This Comment emerges from TPC26 (https://tpc26.org), a conference convening leaders from academia, national laboratories, and industry who are reshaping materials science discovery. The meeting explored how AI, autonomous agents, self-driving labs, higher performance and quantum computing converge to amplify their individual impact on materials science discovery. The perspectives here reflect the firsthand experiences of researchers at these frontiers and capture the essence of this global endeavor. As AI-driven reasoning, autonomous agentic frameworks, self-driving laboratories, and fault-tolerant quantum processors mature simultaneously, we offer this Comment as a reference at what we believe is a tipping point of transformative advances and productive disruption in the chemical sciences.
ER  -