Their work demonstrates that quantum circuits for data encoding in quantum machine learning can be greatly simplified without compromising accuracy or robustness. The research was published Sept ...

Data Prep for Machine Learning: Encoding. Dr. James McCaffrey of Microsoft Research uses a full code program and screenshots to explain how to programmatically encode categorical data for use with a ...

The gradient attack problem has recently been studied to increase the awareness of people on privacy risks in federated learning. However, this attack is constrained under specific conditions, such as ...

In 2012, Securities and Exchange Commission (SEC) mandated all corporate filings for any company doing business in the U.S. be entered into the electronic data gathering, analysis, and retrieval ...

image: This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms.