researchers have made advancements in quantum computing, including the development of entanglement-assisted variational algorithms for discrete optimization problems. these algorithms have potential applications in various fields, such as portfolio optimization and drug discovery. the specifics of these developments and their potential uses are being explored in various studies, with some focusing on quantum annealing and others on integrated photonic quantum computation.