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

QuEra Computing has created a new encoding method for its neutral-atom quantum computer Aquila that will expand its to more applications including in the pharmaceutical and logistics industries.

Researchers at Institute of Science Tokyo have developed a novel Group Encoding method that accurately forecasts electricity demand using only On/Off device data from building energy systems. Tested ...

Dealing with categorical data is an essential part of data preprocessing in many machine learning tasks. Fortunately, encoding categorical data efficiently helps enhance the performance of machine ...