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Self-configuring high-speed multi-plane light conversion
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DOI：10.1038/s41467-025-66798-2.png)
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Abstract
En 中文
Multi-plane light converters (MPLCs) – also known as diffractive neural networks – convert an orthogonal set of optical fields into any other orthogonal set via a unitary transformation. MPLC design typically involves optimising a digital model. However, inherently high levels of complexity mean that even a minor mismatch between this model and the physically realised MPLC leads to a severe reduction in performance. Here we create a self-configuring MPLC, converging in minutes while automatically absorbing unknown misalignments and aberrations into the design. To achieve this we introduce ‘multi-plane wavefront shaping’ – allowing multiple spatial light modes to be reshaped simultaneously. Convergence is accelerated via a high-speed MPLC platform incorporating a kHz-rate phase-only light modulator. Using this approach we demonstrate arbitrary optical transformations and universal mode sorters. Our work paves the way towards ultra-high-fidelity MPLCs with potential applications to optical communications, photonic computing and imaging. Multi-plane light converters (MPLCs) rely on complex nonlinear design optimisation and are challenging to physically realise with high fidelity. Here the authors develop a self-configuring free-space MPLC for linear optical information processing.
Keywords:
Multi-plane light converters
self-configuring
wavefront shaping
optical transformations
diffractive neural networks
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