What modifications are made to the `convert_data` function to handle a broader range of input points for the XOR problem in TFQ, and why are these modifications necessary?
Tuesday, 11 June 2024 by EITCA Academy
To address the task of modifying the `convert_data` function to handle a broader range of input points for the XOR problem in TensorFlow Quantum (TFQ), it is paramount to understand both the nature of the XOR problem and the specifics of quantum data encoding. The XOR problem is a classic example in machine learning where