Portfolio optimization is a pertinent topic of significant importance in the financial literature. During the portfolio construction, an investor confronts two important steps: portfolio selection and portfolio allocation. This article seeks to investigate portfolio optimization based on the...

Our dual objectives are to explore how commercially available quantum hardware and algorithms can solve real world problems in finance, and then to compare quantum solutions to their classical counterparts. Specifically, we use the D-Wave quantum annealing computer (D-Wave 2000Q) to address the...

This study proposes a novel and more efficient quantum algorithm for portfolio optimization using quantum combinatorial optimization (QCO) techniques. A recent construction developed in 2021 has sparked the field of financial portfolio optimization through the Quantum Walk Optimization Algorithm...