quantum computing has made significant progress in recent years, attracting
immense interest not only in research laboratories but also in various
industries. However, the application of quantum computing to solv
This paper explores quantum architecture search for parameterized quantum circuits in the context of Variational Quantum Algorithms and demonstrates that using a neural predictor as the evaluation policy can improve results while using fewer circuit evaluations.