  We investigate the use of quantum computers for building a portfolio out of a
universe of U.S. listed, liquid equities that contains an optimal set of
stocks. Starting from historical market data, we look at various problem
formulations on the D-Wave Systems Inc. D-Wave 2000Q(TM) System (hereafter
called DWave) to find the optimal risk vs return portfolio; an optimized
portfolio based on the Markowitz formulation and the Sharpe ratio, a simplified
Chicago Quantum Ratio (CQR), then a new Chicago Quantum Net Score (CQNS). We
approach this first classically, then by our new method on DWave. Our results
show that practitioners can use a DWave to select attractive portfolios out of
40 U.S. liquid equities.
