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quant-ph2026
Efficient training of photonic quantum generative models
Felix Gottlieb, Chayma Faraji, Rawad Mezher +3
The topic of generative learning has gained traction within the field of quantum machine learning, in particular with the advent of train-on-classical, deploy-on-quantum methods. T…
quant-ph2024★ 10 cited
A Photonic Parameter-shift Rule: Enabling Gradient Computation for Photonic Quantum Computers
Axel Pappalardo, Pierre-Emmanuel Emeriau, Giovanni de Felice +5
We present a method for gradient computation in quantum algorithms implemented on linear optical quantum computing platforms. While parameter-shift rules have become a staple in qu…