Toyota Research Institute of North America (TRINA) and Xanadu have announced a partnership to leverage quantum computing in materials science simulations. The collaboration focuses on developing quantum algorithms to enhance the design and characterization of complex materials, particularly those relevant to quantum sensors and energy technologies.
This research targets the discovery of optically addressable spin defects in 2D materials, which are critical for next-generation quantum sensors. Traditional computational methods face limitations in accurately predicting the properties of these defects, but quantum computing offers the potential for unprecedented precision.
By integrating quantum embedding theory with optimized quantum algorithms, the project aims to reduce computational costs while improving accuracy. This hybrid approach divides tasks between quantum computers and classical supercomputers, enhancing efficiency. The collaboration specifically examines boron vacancies in hexagonal boron nitride, a promising system for quantum sensing applications.
Toyota and Xanadu’s partnership highlights the growing role of quantum computing in overcoming complex challenges in materials science, with significant implications for future quantum sensing technologies.
For more information, visit the press release here. and a technical paper describing this research here.
October 8, 2024
