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Optical quantum circuits can be optimized using gradient descent methods, as the gates in a circuit can be parametrized by continuous parameters.
Zur formalen theorie der funktionen von mehr komplexen veranderlichen
W. Wirtinger · 1927
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Riemannian structure on manifolds of quantum states
JP Provost and G Vallee · 1980
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F Wilczek and A Shapere · 1989
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Neural learning in structured parameter spaces-natural riemannian gradient
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Applications of near-term photonic quantum computers: software and algorithms
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Fast optimization of parametrized quantum optical circuits
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