Parameter-Shift Rules for Gradients in Boson Sampling Experiments
Abstract
Using a robust photon loss model for photonic quantum experiments, we derive $n-$th order parameter-shift rules for computing gradients of Fock boson sampling transition probabilities where $n$ photons are sent into a lossy interferometer. We also show that in general it is not possible to generalize this gradient recipe to the case of Gaussian boson sampling. Only in the specific case where the transmission matrix of the interferometer can be factorized as a diagonal loss matrix premultiplied b...
Description / Details
Using a robust photon loss model for photonic quantum experiments, we derive th order parameter-shift rules for computing gradients of Fock boson sampling transition probabilities where photons are sent into a lossy interferometer. We also show that in general it is not possible to generalize this gradient recipe to the case of Gaussian boson sampling. Only in the specific case where the transmission matrix of the interferometer can be factorized as a diagonal loss matrix premultiplied by a pure unitary it is possible to obtain parameter-shift rules with a finite order given by twice the total number of photons detected. We demonstrate the efficacy of the proposed method by comparing its performance against finite differences on real hardware.
Source: arXiv:2607.15160v1 - http://arxiv.org/abs/2607.15160v1 PDF: https://arxiv.org/pdf/2607.15160v1 Original Link: http://arxiv.org/abs/2607.15160v1
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Jul 17, 2026
Quantum Computing
Quantum Physics
0