Near-optimal decomposition of unitary matrices using phase masks and the discrete Fourier transform
Vincent Girouard, Nicolás Quesada
TL;DR
This work tackles the design of universal multiport interferometers (UMIs) by proposing a constructive analytic decomposition of any $N imes N$ unitary into a sequence of $2N+5$ diagonal phase masks interleaved with $2N+4$ discrete Fourier transforms (DFTs). Grounded on Bell and Walmsley’s symmetric MZI unit cell, and enhanced by phase-relocation and circulant-diagonal simplifications, the method yields a near-optimal, low-depth architecture with fixed mixing layers and a programmable phase-mask sequence. It achieves approximately a 3x reduction in analytic-depth relative to the previous best analytic method, equivalent to a 66% depth reduction for large $N$, and is complemented by an open-source Python implementation. The approach promises robust, scalable UMIs with lower losses and fabrication complexity, applicable to both classical and quantum photonic processing and potentially to other linear-wave systems.
Abstract
Universal multiport interferometers (UMIs) have emerged as a key tool for performing arbitrary linear transformations on optical modes, enabling precise control over the state of light in essential applications of classical and quantum information processing such as neural networks and boson sampling. While UMI architectures based on Mach-Zehnder interferometer networks are well established, alternative approaches that involve interleaving fixed multichannel mixing layers and phase masks have recently gained interest due to their high robustness to losses and fabrication errors. However, these approaches currently lack optimal analytical methods to compute design parameters with low optical depth. In this work, we introduce a constructive decomposition of unitary matrices using a sequence of $2N+5$ phase masks interleaved with $2N+4$ discrete Fourier transform matrices. This decomposition can be leveraged to design universal interferometers based on phase masks and multimode interference couplers, implementing a discrete Fourier transform, offering an analytical alternative to conventional numerical optimization-based designs and reducing by a factor of 3 the previous best known analytical methods.
