PFI-TT: Prototyping a quantum-powered AI building platform

该创新伙伴关系-技术转化（PFI-TT）项目的更广泛影响/商业潜力在于，通过使用现代量子计算机加速模型创建、训练和操作，显著改进人工智能（AI）系统。该项目的成果可以促进化学领域的进步，创造新材料和新药，改善制造和零售，降低高科技、勘探和任务规划方面的风险，并改善公共部门、银行和医疗保健等领域的决策。该项目将培养新一代的企业家和科学家，他们可以轻松地在工程、物理、计算机科学和高性能模拟等多种学科之间转换。拟议中的项目将开发一个人工智能构建软件平台，使模型能够在快速发展和快速增长的数据集上“实时”训练。这将显著提高它们的预测和分类功能，将大型数据集的训练时间减少十倍。有了量子加速的人工智能，很大一部分决策任务可以自动化，以减少人为错误，从而降低任务失败的风险。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project is in significant improvement of artificial intelligence (AI) systems by acceleration of the model creation, training, and operation using modern quantum computers. The project's outcomes can stimulate advances in chemistry, create new materials and new drugs, improve manufacturing and retail, reduce risks in high-tech, exploration and mission planning, and improve decision-making in arenas such as the public sector, banking, and healthcare. The project will nurture a new generation of entrepreneurs and scientists who can move easily between disciplines as varied as engineering, physics, computer science, and high-performance simulations.The proposed project will develop an AI-building software platform that enables training the models “on the fly” on fast-evolving and fast-growing datasets. This will significantly improve their prediction and classification functions, reducing training time on large datasets by ten-fold. With the quantum-accelerated AI, a significant part of decision-making tasks can be automated to reduce human errors, thereby reducing mission failure risks.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.