Population |
The scientific research work deals with the application of quantum computing and quantum information theory to financial and economic problems. |
Intervention |
Possibilities to use quantum computing in the financial field (e.g. use of quantum algorithms for behavioral financial markets, use of quantum finance for pricing models, for the trajectory of the supply and demand curves in finance, the design of quantum finance system, the modeling of interest rates, the establishment of prices by quantum financial forecasting, the evolution of quantum finance software, trading strategy optimization, risk management, etc.) |
Comparison |
Identifying strengths and weaknesses of using quantum theories in finance. Identifying opportunities and threats in using quantum theories for the financial market. |
Outcome(s) |
Assessment of knowledge and gaps in the selected publications about quantum finance. The most or the least aspects studied about using quantum computing in finance. Perks and limitations of quantum finance. Synthesis of methods used in quantum finance studies. |
Context |
Trends of quantum finance research, challenges and gaps in quantum finance application to solve complex problems (e.g. optimization, pricing models, risk management, financial forecasting, artificial intelligence impact, etc.) Geographical distribution of existing studies. |