  Adaptive variational quantum algorithms arguably offer the best prospects for
quantum advantage in the NISQ era. Since the inception of the first such
algorithm, ADAPT-VQE, many improvements have appeared in the literature. We
combine the key improvements along with a novel operator pool -- which we term
Coupled Exchange Operator (CEO) pool -- to assess the cost of running
state-of-the-art ADAPT-VQE on hardware in terms of measurement counts and
circuit depth. We show a dramatic reduction of these quantum resources compared
to the early versions of the algorithm. We also find that our state-of-the-art
CEO-ADAPT-VQE outperforms UCCSD, the most widely regarded static VQE ansatz, in
all relevant metrics.
