Despite the significant progress in both algorithmic development and computer hardware, many computationally intensive problems remain elusive for today's most advanced computers. There's an emerging interest in alternative computational devices that diverge from the standard paradigms of digital electronic computers, aiming to bypass these challenges. Within this context, this project focuses on creating a network of coupled photon Bose-Einstein condensates, aiming to serve as an experimental platform for ultrafast simulations of classical spin systems. The primary objective is to address the ground-state problem in spin glasses, which are essentially disordered magnets. While this may sound like a niche concern, the spin glass problem is a cornerstone combinatorial challenge with implications extending to other intricate computational issues found in fields like machine learning, logistics, computer chip design, and DNA sequencing. The ultimate goal of this research is to provide a proof-of-principle demonstration, showcasing that the proposed spin glass simulator can tackle this computationally demanding optimization problem more efficiently than existing computational solutions.