Parallel Quantum Chemistry on Noisy Intermediate-Scale Quantum Computers
This work presents a parallel hybrid quantum-classical algorithm to solve ground-state energy problems for large molecules on noisy quantum computers. It uses reduced density-matrix functional theory and an adaptive cluster approximation to drastically reduce qubit requirements, allowing for the treatment of larger systems while maintaining noise tolerance.