Fiber-optic Mach–Zehnder interferometers are fundamental building blocks in modern photonic and quantum information systems, enabling precise phase manipulation for applications ranging from coherent communications to quantum state preparation and measurement. Nevertheless, their performance is inherently limited by phase noise induced by environmental perturbations, such as temperature fluctuations and mechanical vibrations. This challenge becomes increasingly severe as the dimensionality and complexity of the interferometric architecture grow, particularly in multi-path and high-dimensional fiber-optic networks. In this talk, we present an adaptive control approach for the stabilization of phase fluctuations in complex fiber-optic interferometers. The proposed method dynamically adjusts the control action based on the system response, allowing it to operate effectively in nonlinear regimes without requiring an explicit system model. Numerical studies performed on high-dimensional N×NN \times NN×N interferometric architectures illustrate the scalability and robustness of the approach under realistic noise conditions. Experimental validation is carried out using correlated photon pairs, demonstrating stable and sustained phase locking in fiber-based interferometers relevant to quantum information applications. The results show that the adaptive strategy provides strong resilience to phase noise while maintaining long-term stability. Furthermore, the control scheme is well suited for real-time implementation on FPGA platforms, supporting low-latency operation and practical deployment. These features make the proposed approach attractive for both classical photonic systems and emerging quantum technologies based on fiber-optic interferometry.