Researchers are making progress in the field of quantum computing, particularly in the area of photonic quantum walks. Studies are exploring the use of artificial intelligence and deep learning to learn quantum states and properties, with some focusing on mixed-state tomography and quantum entanglement. The outcomes of these efforts are being benchmarked and demonstrated through various experiments and simulations, with potential applications in large-scale integrated photonic quantum computation.