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We continue to investigate the use of quantum computers for building anoptimal portfolio out of a universe of 60 U.S. listed, liquid equities.Starting from historical market data, we apply our unique problem formulationon the D-Wave Systems Inc. D-Wave 2000Q (TM) quantum annealing system(hereafter called D-Wave) to find the optimal risk vs return portfolio. Weapproach this first classically, then using the D-Wave, to select efficient buyand hold portfolios. Our results show that practitioners can use eitherclassical or quantum annealing methods to select attractive portfolios. Thisbuilds upon our prior work on optimization of 40 stocks.

Portfolio Optimization of 60 Stocks Using Classical and Quantum Algorithms