Any unitary matrix can be approximately decomposed into N alternating layers of diagonal phases and a fixed tridiagonal lattice propagator, with a formal proof of finite-layer universality and numerical evidence that exactly N layers suffice.
Photonic Matrix Multiplier Makes a Direction-Finding Sensor
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abstract
We introduce a photonic integrated circuit solution for the direction-of-arrival estimation in the optical frequency band. The proposed circuit is built on discrete sampling of the phasefront of an incident optical beam and its analog processing in a photonic matrix-vector multiplier that maps the angle of arrival into the intensity profile at the output ports. We derive conditions for perfect direction-of-arrival sensing for a discrete set of incident angles and its continuous interpolation and discuss the angular resolution and field-of-view of the proposed device in terms of the number of input and output ports of the matrix multiplier. We show that while, in general, a non-unitary matrix operation is required for perfect direction finding, under certain conditions, it can be approximated with a unitary operation that simplifies the device complexity while coming at the cost of reducing the field of view. The proposed device will enable real-time direction-finding sensing through its ultra-compact design and minimal digital signal processing requirements.
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Universality of Photonic Interlacing Architectures for Learning Discrete Linear Unitaries
Any unitary matrix can be approximately decomposed into N alternating layers of diagonal phases and a fixed tridiagonal lattice propagator, with a formal proof of finite-layer universality and numerical evidence that exactly N layers suffice.