• Sun. Dec 3rd, 2023

SandboxAQ and NVIDIA Partner to Provide AI and Simulation Tools for Science Research; Insights from Eric Schmidt and Jack Hidary


Nov 20, 2023

SandboxAQ has partnered with NVIDIA to harness the power of quantum simulation platforms in various scientific fields. The partnership aims to leverage artificial intelligence and simulation technologies to support drug discovery, battery design, green energy, and other scientific areas. The announcement was made from Palo Alto, California, with SandboxAQ Chairman Eric Schmidt expressing his belief that simulation is a highly promising future technological application.

Schmidt highlighted the role of rapid advances in graphics processing unit hardware and quantum information science in enabling the use of artificial intelligence for specialized applications. Jack Hidary, CEO of SandboxAQ, emphasized the impact of simulation on GPU use, stating that it will provide insights about the physical world beyond the capabilities of extractive or generative AI.

The partnership between SandboxAQ and NVIDIA will use quantum platforms for simulating chemical reactions and forecasting scientific developments in modern chemistry, biology, and material science. SandboxAQ will offer technical advice to NVIDIA on its tensor network offerings, cuTENSOR, cuTensorNet, Quantum Computing, and CUDA libraries. These libraries are crucial for modeling high-dimensional data and have applications in machine learning, data science, financial modeling, fluid dynamics, and quantum chemistry.

NVIDIA’s director of high-performance computing and quantum Tim Costa emphasized the need for powerful accelerated computing platforms in advancing quantum chemistry and molecular modeling. The collaboration with SandboxAQ is expected to provide scientists with the tools to make breakthroughs in material science.

In conclusion, this partnership between two tech giants aims to revolutionize scientific research by utilizing advanced technologies such as quantum simulation platforms and artificial intelligence to solve complex problems in various fields such as drug discovery and battery design. With this collaboration set to bring insights beyond current limitations through GPU use and technical advice from experts like Eric Schmidt on tensor network offerings from NVIDIA’s libraries like cuTENSOR and cuTensorNet; we can expect significant advancements in material science research that could change our understanding of how materials work at a molecular level.

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