Laura Gagliardi’s research at the intersection of quantum chemistry, quantum computing and clean energy is featured in the National Quantum Algorithm Center’s (NQAC) Grand Challenges series at the Illinois Quantum and Microelectronics Park (IQMP).
Gagliardi and collaborators from the University of Chicago, PsiQuantum and UL Research Institutes are exploring how quantum computing could help design better catalysts for clean-energy technologies such as green hydrogen production, carbon dioxide utilization and fuel cells.
The project, Quantum Algorithms for Strongly Correlated Metalloporphyrins in Electrocatalysis, focuses on developing practical quantum algorithms to more accurately model complex chemical systems that are difficult for conventional computational methods to simulate.
By combining quantum algorithms, computational chemistry, materials discovery and experimental data, the team is working toward a pathway for using fault-tolerant quantum computing to accelerate catalyst discovery and advance energy-relevant technologies.
Read the full IQMP article here.