[5][10] From 2012 to 2014, Aspuru-Guzik had worked with Michael Aziz and Roy Gordon with funding from the United States Department of Energy to develop grid-scale, metal-free flow batteries.
[12] Generalizing such research efforts, he has substantially contributed to developing ideas of hybrid quantum classical algorithms.
[17] The company aimed to leverage quantum machine learning to accelerate the discovery of new materials and optimize complex tasks, such as predicting car race outcomes and enhancing aerodynamic design for energy efficiency in sectors like aviation and automotive.
[26] He was also 2017–2018 Invited Member of the World Economic Forum's Global Future Council on Advanced Materials and 2018 the Phi Beta Kappa society Visiting Scholar[27] In 2010 he was listed as Young Innovator Under 35 by the MIT Technology Review.
Eventually, he chose to join the University of Toronto, finding it particularly appealing due to its diverse population, progressive legislation related to human rights, the environment, and immigration.