  We present explicit oracles designed to be used in Grover's algorithm to
match investor preferences. Specifically, the oracles select portfolios with
returns and standard deviations exceeding and falling below certain thresholds,
respectively. One potential use case for the oracles is selecting portfolios
with the best Sharpe ratios. We have implemented these algorithms using quantum
simulators.
