ADAPT-VQE: An exact variational algorithm for fermionic simulations on a quantum computer
Harper R. Grimsley, Sophia E. Economou, Edwin Barnes, Nicholas J. Mayhall · arXiv (Cornell University) · 2018
Quantum simulation of chemical systems is one of the most promising near-term applications of quantum computers. The variational quantum eigensolver, a leading algorithm for molecular simulations on quantum hardware, has a serious limitation in that it typically relies on a pre-selected wavefunction ansatz that results in approximate wavefunctions and energies. Here we present an arbitrarily accurate variational algorithm termed ADAPT-VQE. Instead of fixing an ansatz upfront, this algorithm grows it systematically one operator at a time in a way dictated by the system being simulated. This generates an ansatz with a small number of parameters, leading to shallow-depth circuits. We present numerical simulations, including for a prototypical strongly correlated molecule, which show that our algorithm performs much better than a unitary coupled cluster approach, in terms of both circuit depth and chemical accuracy. Our results highlight the potential of our adaptive algorithm for exact simulations with present-day and near-term quantum hardware.