Leveraging Quantum Machine Learning to Optimize High-Frequency Trading Strategies in U.S. Treasuries and Forex Markets

The study is striving to assess how quantum machine learning can be leveraged with the purpose of optimising high-frequency trading strategies in US treasuries and forex markets. The interplay of ideas from quantum computing and machine learning is enabling the development of predictive models that are used for stock price forecasting. The study is investigating how it is impacting the high frequency trading strategies amidst the US treasuries and forex markets. The challenges of using quantum machine learning and the best steps for key results have been discussed in the study.