Preprint
Jul 2026
The trainability of photonic quantum circuits
Variational quantum algorithms are a leading approach to near-term quantum computing, but their scalability can be limited by barren plateaus and the sampling cost of resolving small changes in the loss landscape. Here, we study the trainability of passive linear-optical quantum circuits and introduce a framework based...
Alexander Makarovskiy, Adam J. Taylor, Zheng-Hao Li et al.
· 1 citation