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We propose a simple all-in-line single-shot scheme for diagnostics ofultrashort laser pulses, consisting of a multi-mode fiber, a nonlinear crystaland a CCD camera. The system records a 2D spatial intensity pattern, from whichthe pulse shape (amplitude and phase) are recovered, through a fast DeepLearning algorithm. We explore this scheme in simulations and demonstrate therecovery of ultrashort pulses, robustness to noise in measurements and toinaccuracies in the parameters of the system components. Our techniquemitigates the need for commonly used iterative optimization reconstructionmethods, which are usually slow and hampered by the presence of noise. Thesefeatures make our concept system advantageous for real time probing ofultrafast processes and noisy conditions. Moreover, this work exemplifies thatusing deep learning we can unlock new types of systems for pulse recovery.

Deep learning reconstruction of ultrashort pulses from 2D spatial intensity patterns recorded by an all-in-line system in a single-shot