Researchers are exploring new methods for efficient physical field computing, including the use of complex-valued network quantization. This area of study appears to be related to advancements in photonic deep learning accelerators and high-performance AI-driven scientific computing. The integration of physical units and computational optics is also being investigated, with a focus on optimization techniques such as physical twinning for encoding and decoding.