Advancing Quantum AI for Industrial Applications

Vardaan Sahgal, Quantum Solutions Head for The Washington Institute for STEM, Entrepreneurship and Research (WISER)

With the announcement that The Washington Institute for STEM, Entrepreneurship and Research (WISER) and the Fraunhofer Institute for Industrial Mathematics ITWM have successfully completed a joint research project as part of WISER’s Quantum and AI program advancing the understanding of Quantum Machine Learning for real-world industrial use cases, specifically anomaly detection in manufacturing, Vardaan Sahgal, Quantum Solutions Head for WISER, commented:

Quantum Neural Networks (QNNs), holds promise for integrating quantum principles into machine learning. However, a critical gap exists in understanding the practical limitations of QNNs regarding trainability and approximation capabilities. Our work provides a roadmap for selecting ansatzes that balance expressivity across both synthetic and real-world datasets, while using limited qubit count to address any noise issues.

arXiv Paper: https://arxiv.org/abs/2603.27671
Webinar: https://luma.com/adcrvp6v