In collaboration with Xanadu, this project focused on improving the efficiency of quantum algorithms used for molecular simulations. Quantum chemistry is widely regarded as one of the most promising early applications of quantum computing, but current hardware limitations require algorithmic approaches that minimize circuit depth and computational resources.

The work targeted optimization strategies for the Linear Combination of Unitaries (LCU) decomposition, a technique used to represent complex quantum operators as weighted sums of simpler unitary operations. LCU methods play an important role in many quantum chemistry algorithms, particularly for simulating molecular Hamiltonians on near-term quantum processors.

By developing improved decomposition strategies, the WISER research team demonstrated 50% reduction in 1-norm calculations, and up to 90% cost reduction in running quantum chemistry algorithms on hardware. The results are benchmarked across 5 different molecular frameworks, contributing to the ongoing efforts to make quantum simulations of complex molecules more practical and scalable.

WISER Research Fellows: Mojde Fadaie, Prashant Sharma