In this study, we propose a quantum-classical hybrid scheme for performing orbital-free density
functional theory (OFDFT) using probabilistic imaginary-time evolution (PITE), designed for the
era of fault-tolerant quantum computers (FTQC), as a material calculation method for large-scale
systems. PITE is applied to the part of OFDFT that searches the ground state of the Hamiltonian in
each self-consistent field (SCF) iteration, while the other parts such as electron density and Hamiltonian updates are performed by existing algorithms on classical computers. When the simulation
cell is discretized into Ng grid points, combined with quantum phase estimation (QPE), it is shown
that obtaining the ground state energy of Hamiltonian requires a circuit depth of O(log Ng). The
ground state calculation part in OFDFT is expected to be accelerated, for example, by creating
an appropriate preconditioner from the estimated ground state energy for the locally optimal block
preconditioned conjugate gradient (LOBPCG) method.
https://arxiv.org/pdf/2407.16191