  Amyloid beta, an intrinsically disordered protein, plays a seemingly
important but not well-understood role in neurodegenerative diseases like
Alzheimer's disease. A key feature of amyloid beta, which could lead to
potential therapeutic intervention pathways, is its binding affinity to certain
metal centers, like iron and copper. Numerically calculating such binding
affinities is a computationally challenging task, involving strongly correlated
metal centers. A key bottleneck in understanding the binding affinity is
obtaining estimates of the ground state energy. Quantum computers have the
potential to accelerate such calculations but it is important to understand the
quantum resources required. In this work, we detail a computational workflow
for binding affinity calculations for amyloid beta utilizing quantum
algorithms, providing estimated quantum resources required, at both the logical
and hardware level.
