Portfolio optimization of 60 stocks using Quantum algorithms

unique problem formulation on the D-Wave 2000Q (TM) quantum annealing system

Researchers at Chicago Quantum continue to investigate the use of quantum computers in Finance.

They have now looked for building an optimal portfolio out of a universe of 60 U.S. listed, liquid equities.

Starting from historical market data, they applied our unique problem formulation on the D-Wave 2000QTM quantum annealing system to find the optimal risk vs return portfolio.

We approached this first classically, then using the D-Wave, to select efficient buy and hold portfolios.

Their results show that practitioners can use either classical or quantum annealing methods to select attractive portfolios. This builds upon their prior work on optimization of 40 stocks.

The paper can be read there.